WEBVTT 00:00:11.720 --> 00:00:15.060 Breaking free from the chains of the past Where 00:00:15.060 --> 00:00:18.820 truth moves faster than a Holstein calf No law 00:00:18.820 --> 00:00:21.660 waiting on some printed page We're charting new 00:00:21.660 --> 00:00:25.300 ground in the digital age From genomic codes 00:00:25.300 --> 00:00:29.120 to robot facts We cut through the noise, no hold 00:00:29.280 --> 00:00:32.460 them back not your daddy's dairy news tonight 00:00:32.460 --> 00:01:03.229 we're sparking Welcome back to The Bullvine. 00:01:03.369 --> 00:01:08.069 The show dairy farmers trust for no BS industry 00:01:08.069 --> 00:01:11.170 analysis. Exactly. We are cutting through all 00:01:11.170 --> 00:01:14.010 the daily dairy industry noise to get you the 00:01:14.010 --> 00:01:16.709 insights that actually matter for your operation. 00:01:16.930 --> 00:01:19.209 And today we're diving deep into a fascinating 00:01:19.209 --> 00:01:22.650 feature piece straight from www .thebullvine 00:01:22.650 --> 00:01:25.730 .com. Yeah, and we are talking about precision 00:01:25.730 --> 00:01:29.120 livestock farming. Specifically... This wild 00:01:29.120 --> 00:01:32.159 explosion of internal data monitoring. Right. 00:01:32.260 --> 00:01:34.079 But before we get into the heavy data, I want 00:01:34.079 --> 00:01:35.760 you to imagine something for a second. Okay. 00:01:35.900 --> 00:01:38.659 Just a picture that you're holding onto this 00:01:38.659 --> 00:01:42.280 incredibly valuable asset. Like a tractor. No, 00:01:42.319 --> 00:01:44.859 a biological asset. We are talking tens of thousands 00:01:44.859 --> 00:01:47.400 of dollars, maybe even six figures, wrapped up 00:01:47.400 --> 00:01:50.159 in one single breathing package. Right. An elite 00:01:50.159 --> 00:01:53.709 animal. Exactly. You spent years. Honestly, maybe 00:01:53.709 --> 00:01:55.849 generations of careful breeding and planning, 00:01:55.930 --> 00:01:58.469 getting this specific asset to peak condition. 00:01:58.629 --> 00:01:59.950 And you're standing there in the barn looking 00:01:59.950 --> 00:02:02.629 right at it. And it looks great. It looks unequivocally 00:02:02.629 --> 00:02:05.950 perfect. Not a hair out of place. No weird behaviors. 00:02:06.129 --> 00:02:08.650 Your naked eye, your decades of farming experience, 00:02:08.909 --> 00:02:10.669 they're both telling you everything is fine. 00:02:11.050 --> 00:02:14.110 But it's not. No, it's not. Because deep inside. 00:02:14.780 --> 00:02:17.300 resting quietly in the dark of its stomach, is 00:02:17.300 --> 00:02:20.560 a piece of technology that costs exactly $99. 00:02:20.780 --> 00:02:24.939 That's it. 99 bucks. 99 bucks. And that sensor 00:02:24.939 --> 00:02:29.889 is quietly screaming into the digital void. It 00:02:29.889 --> 00:02:32.569 is sounding alarms that no human being could 00:02:32.569 --> 00:02:35.349 possibly perceive yet. That is, I mean, that's 00:02:35.349 --> 00:02:37.310 a scenario that fundamentally challenges human 00:02:37.310 --> 00:02:39.629 intuition. Totally. Because as a farmer, you're 00:02:39.629 --> 00:02:42.629 suddenly forced into this very modern, very uncomfortable 00:02:42.629 --> 00:02:45.610 dilemma. Do you trust your own eyes? Right. The 00:02:45.610 --> 00:02:47.330 same eyes that have paid the bills for 20 years. 00:02:47.430 --> 00:02:50.069 Exactly. Or do you trust an invisible data stream 00:02:50.069 --> 00:02:52.009 coming from a piece of plastic and metal you 00:02:52.009 --> 00:02:54.530 can't even see? It's a massive shift in how we 00:02:54.530 --> 00:02:57.360 manage risk. And that tension right there, human 00:02:57.360 --> 00:03:00.479 intuition versus raw data, that is the exact 00:03:00.479 --> 00:03:03.039 mission of today's deep dive. We are getting 00:03:03.039 --> 00:03:06.240 into the hard truth about this tech. Yeah. We're 00:03:06.240 --> 00:03:09.139 unpacking an incredible article about the 2025 00:03:09.139 --> 00:03:12.539 Royal Agricultural Winter Fair. We're looking 00:03:12.539 --> 00:03:16.259 at dairy farming, high stakes cattle shows, and 00:03:16.259 --> 00:03:18.960 how data is just totally revolutionizing traditional 00:03:18.960 --> 00:03:21.219 agriculture. And I want to make something really 00:03:21.219 --> 00:03:24.099 clear right up front. Even if you, listening 00:03:24.099 --> 00:03:26.819 right now, have never stepped foot on a dairy 00:03:26.819 --> 00:03:28.759 farm. You have never hauled a trailer. Right. 00:03:28.819 --> 00:03:30.439 Never even thought about how milk gets to the 00:03:30.439 --> 00:03:33.159 grocery store. You absolutely need to stick around 00:03:33.159 --> 00:03:35.680 for this deep dive. Why should they care? Because 00:03:35.680 --> 00:03:39.060 what we are really dissecting today is a complete 00:03:39.060 --> 00:03:41.400 masterclass in risk management. Oh, absolutely. 00:03:41.680 --> 00:03:43.979 It's about the hidden economics of reputation. 00:03:44.379 --> 00:03:46.219 These are principles that apply to literally 00:03:46.219 --> 00:03:49.879 any business. We're looking at how wearable or... 00:03:50.240 --> 00:03:53.580 I guess, uh, swallowable technology is catching 00:03:53.580 --> 00:03:55.780 invisible problems days before they turn into 00:03:55.780 --> 00:03:58.479 very public, very catastrophic failures. Swallowable 00:03:58.479 --> 00:04:00.659 tech. I love that. So we are going to break down 00:04:00.659 --> 00:04:03.560 the surprising ROI of this hardware. We'll look 00:04:03.560 --> 00:04:06.120 at the hit or long -term costs of calfhood diseases. 00:04:06.479 --> 00:04:09.349 Which are brutal, by the way. Brutal. And we 00:04:09.349 --> 00:04:11.689 are going to confront a very uncomfortable truth 00:04:11.689 --> 00:04:14.930 about when buying this cutting edge technology 00:04:14.930 --> 00:04:17.730 is actually a complete waste of your money. Yeah, 00:04:17.750 --> 00:04:19.689 we are definitely challenging the marketing hype 00:04:19.689 --> 00:04:22.680 today. Sure. So let's set the scene. Put yourself 00:04:22.680 --> 00:04:25.660 in Maxine Petticlerd's boots for a second. It's 00:04:25.660 --> 00:04:28.959 November 2025. Getting cold. Very cold. We're 00:04:28.959 --> 00:04:32.439 in Quebec. Maxine has almost two decades of experience 00:04:32.439 --> 00:04:35.660 showing cattle at the absolute highest, most 00:04:35.660 --> 00:04:38.439 elite levels. The big leagues. The biggest. He 00:04:38.439 --> 00:04:42.000 has 22 of his best heifers bedded down. They 00:04:42.000 --> 00:04:44.480 are in the final prep stages for the long haul 00:04:44.480 --> 00:04:47.100 down to Toronto for Canada's most prestigious 00:04:47.100 --> 00:04:50.720 dairy event, the Royal Agricultural Winter Fair. 00:04:51.050 --> 00:04:53.170 The Royal, I mean, the pressure in that barn 00:04:53.170 --> 00:04:55.750 is just immense. Do you explain the stakes for 00:04:55.750 --> 00:04:57.870 someone who doesn't know the show circuit? Yeah, 00:04:57.930 --> 00:04:59.649 to understand the Royal, you have to realize 00:04:59.649 --> 00:05:02.089 it's the proving ground. It's the Super Bowl 00:05:02.089 --> 00:05:05.029 and the Oscars of the dairy world mashed together. 00:05:05.209 --> 00:05:07.269 That's a great way to put it. This is where genetics 00:05:07.269 --> 00:05:09.910 programs, programs that took generations to build, 00:05:09.949 --> 00:05:12.470 are put on a global stage. Buyers from all over 00:05:12.470 --> 00:05:15.029 the world are watching you. Every detail matters. 00:05:15.230 --> 00:05:17.670 Every single detail, down to the exact curvature 00:05:17.670 --> 00:05:20.889 of a hoof or the shine of the coat. The margin 00:05:20.889 --> 00:05:24.170 for error is essentially zero. Zero margin. Yeah. 00:05:24.269 --> 00:05:26.430 And there's this one heifer in Maxine's string. 00:05:26.610 --> 00:05:29.230 She looks completely normal. It's morning chores. 00:05:29.370 --> 00:05:31.649 She's eating her feed, nosing through the TMR 00:05:31.649 --> 00:05:33.649 without any hesitation. It's perfectly fine. 00:05:33.850 --> 00:05:35.430 She's moving around the bedding pack comfortably. 00:05:35.810 --> 00:05:38.189 To anyone looking, she's ready to step into the 00:05:38.189 --> 00:05:41.850 ring in 48 hours and win. Maxime's muscle memory 00:05:41.850 --> 00:05:44.949 is telling him she's on track. Right. But the 00:05:44.949 --> 00:05:48.569 farm -fit rumen bolus, that $99 sensor sitting 00:05:48.569 --> 00:05:51.290 deep down in her reticulum, is telling a much 00:05:51.290 --> 00:05:54.149 darker story. So what was the data actually saying? 00:05:54.410 --> 00:05:56.870 Well, the continuous stream off that bolus showed 00:05:56.870 --> 00:05:59.310 two critical deviations from her normal baseline. 00:05:59.949 --> 00:06:02.370 First, her core body temperature was trending 00:06:02.370 --> 00:06:04.949 steadily upward. Was it a massive fever? No, 00:06:04.970 --> 00:06:08.360 not yet. Not a blazing 105 -degree spike. But 00:06:08.360 --> 00:06:11.279 it was a clear, undeniable upward trend breaking 00:06:11.279 --> 00:06:13.480 from her daily cycle. Okay. And the second deviation? 00:06:13.839 --> 00:06:16.240 Rumination. The total time she spends chewing 00:06:16.240 --> 00:06:18.300 her cud throughout the day was starting to drop 00:06:18.300 --> 00:06:22.360 off. And that specific combo, temp up, rumination 00:06:22.360 --> 00:06:25.279 down, that's where the text shifts the whole 00:06:25.279 --> 00:06:28.899 timeline. Exactly. The system's algorithms flagged 00:06:28.899 --> 00:06:32.339 that this animal was likely 12 to 18 hours away 00:06:32.339 --> 00:06:35.500 from showing any obvious visible signs of illness. 00:06:35.740 --> 00:06:38.720 12 to 18 hours. Just pause and think about that 00:06:38.720 --> 00:06:41.699 window. In the context of a fast -moving bacterial 00:06:41.699 --> 00:06:44.720 infection, 12 hours is an absolute eternity. 00:06:45.180 --> 00:06:47.480 It's the difference between a spark in the wastebasket 00:06:47.480 --> 00:06:50.100 and the whole house burning down. Exactly. So 00:06:50.100 --> 00:06:52.560 because Maxime had that invisible data, he made 00:06:52.560 --> 00:06:54.860 a decision that totally contradicts traditional 00:06:54.860 --> 00:06:57.439 farming. He treated an animal that looked completely 00:06:57.439 --> 00:06:59.819 healthy. Yes. He started medical treatments immediately. 00:07:00.490 --> 00:07:02.589 In an interview for the article facilitated by 00:07:02.589 --> 00:07:05.410 ST Genetics Canada, he explained that the data 00:07:05.410 --> 00:07:08.170 sees the microscopic war inside the body before 00:07:08.170 --> 00:07:10.449 the human eye sees the casualties on the outside. 00:07:10.629 --> 00:07:12.850 I love that phrasing, the microscopic war. It's 00:07:12.850 --> 00:07:14.730 fascinating because of the biological reality 00:07:14.730 --> 00:07:18.110 of that 12 to 18 hour window. To really grasp 00:07:18.110 --> 00:07:20.589 why this tech is revolutionary, you have to understand 00:07:20.589 --> 00:07:23.009 the difference between leading indicators and 00:07:23.009 --> 00:07:25.240 lagging indicators. Okay, break that down for 00:07:25.240 --> 00:07:27.779 us. Core body temperature is the ultimate leading 00:07:27.779 --> 00:07:31.079 indicator. When a cow's immune system detects 00:07:31.079 --> 00:07:34.579 a pathogen, like a respiratory virus, the very 00:07:34.579 --> 00:07:37.660 first systemic response from the brain's hypothalamus 00:07:37.660 --> 00:07:40.579 is to raise the core temperature. The body's 00:07:40.579 --> 00:07:43.199 literally trying to cook the bug to death. Exactly. 00:07:43.220 --> 00:07:46.399 And this defense mechanism kicks in hours, sometimes 00:07:46.399 --> 00:07:49.199 days, before the animal feels sick enough to 00:07:49.199 --> 00:07:51.660 act lethargic. So the core temp is like the check 00:07:51.660 --> 00:07:54.740 engine light turning on. Right. But visible symptoms 00:07:54.740 --> 00:07:58.060 like a drooping head, dull eyes, or dropping 00:07:58.060 --> 00:08:01.160 feed, those are lagging indicators. That's the 00:08:01.160 --> 00:08:02.899 engine actually smoking on the highway. Yeah. 00:08:02.980 --> 00:08:05.579 By the time a cow physically stops ruminating 00:08:05.579 --> 00:08:07.759 or looks depressed in the corner, the disease 00:08:07.759 --> 00:08:10.480 has already been progressing unchecked. The pathogen 00:08:10.480 --> 00:08:13.639 has multiplied. The body is exhausted. So having 00:08:13.639 --> 00:08:16.560 a sensor that monitors true core TEP every 15 00:08:16.560 --> 00:08:19.759 minutes gives you this massive unfair head start. 00:08:19.939 --> 00:08:22.300 An unfair advantage for sure. You're intervening 00:08:22.300 --> 00:08:24.500 when the bacterial load is low. Think about the 00:08:24.500 --> 00:08:26.740 alternative timeline here. What realistically 00:08:26.740 --> 00:08:30.019 happens without that $99 piece of hardware? Just 00:08:30.019 --> 00:08:32.379 think about the normal rhythm of a farm. Right. 00:08:32.889 --> 00:08:35.809 If that heifer looks fine at the 6 .0 a .m. feeding, 00:08:35.990 --> 00:08:38.970 the next time anyone really scrutinizes her is 00:08:38.970 --> 00:08:42.029 the evening feeding at 5 .0 or 6 .0 p .m. That 00:08:42.029 --> 00:08:45.570 is a massive 10 to 12 hour blind spot. And biology 00:08:45.570 --> 00:08:47.870 doesn't pause during that blind spot. The temp 00:08:47.870 --> 00:08:50.190 keeps spiking, the bacteria multiplies, inflammation 00:08:50.190 --> 00:08:53.740 spreads. By evening chores. She isn't just a 00:08:53.740 --> 00:08:57.159 little off. She is undeniably sick. And now you 00:08:57.159 --> 00:08:59.799 are in full -blown panic mode. You're looking 00:08:59.799 --> 00:09:02.559 at a highly valuable heifer supposed to get on 00:09:02.559 --> 00:09:05.460 a transport trailer in hours. And you're scrambling 00:09:05.460 --> 00:09:08.259 to call an emergency vet. Let's talk real economics 00:09:08.259 --> 00:09:10.559 there. An after -hours emergency vet call is 00:09:10.559 --> 00:09:13.120 $200 to $500 right off the bat. Before they even 00:09:13.120 --> 00:09:16.740 give a single drug. Exactly. And worse, you're 00:09:16.740 --> 00:09:18.679 almost certainly scratching her from the competition. 00:09:19.370 --> 00:09:22.529 All that prep work is just gone. Plus the transport 00:09:22.529 --> 00:09:25.190 plans for the other 21 animals are in total chaos. 00:09:25.490 --> 00:09:28.110 Do you leave her behind? Do you risk putting 00:09:28.110 --> 00:09:30.549 a sick, shedding animal on a closed trailer? 00:09:30.830 --> 00:09:32.950 The stress for the farmer goes through the roof. 00:09:33.169 --> 00:09:35.590 But Maxime avoided all of that because he had 00:09:35.590 --> 00:09:38.230 the data. The early targeted treatment kept her 00:09:38.230 --> 00:09:40.269 sound, kept her healthy, and she made the trip. 00:09:40.570 --> 00:09:42.750 And there's a biological multiplier effect, the 00:09:42.750 --> 00:09:45.029 article points out. Catching it early doesn't 00:09:45.029 --> 00:09:47.309 just save the cow, it makes the medical treatment 00:09:47.309 --> 00:09:49.789 way more effective. Shorter duration of drugs? 00:09:50.350 --> 00:09:52.909 Sometimes less aggressive drugs. Which reduces 00:09:52.909 --> 00:09:55.269 the risk of antimicrobial resistance, which is 00:09:55.269 --> 00:09:57.730 a massive concern right now. And it just costs 00:09:57.730 --> 00:10:00.870 less than waiting for a full -blown crisis requiring 00:10:00.870 --> 00:10:04.230 IV fluids and days of nursing. Oh, and there's 00:10:04.230 --> 00:10:06.370 this brilliant feedback loop in the PharmFed 00:10:06.370 --> 00:10:09.309 app. You can mark the temperature curve with 00:10:09.309 --> 00:10:11.750 the exact timestamp of when you gave the treatment. 00:10:11.950 --> 00:10:14.250 So you're not just hoping for the best. No. You 00:10:14.250 --> 00:10:17.220 can open your phone and literally... Watch the 00:10:17.220 --> 00:10:19.799 core temperature line respond to your intervention 00:10:19.799 --> 00:10:22.360 over the next few hours. If the line doesn't 00:10:22.360 --> 00:10:24.740 trend down, you know instantly you might have 00:10:24.740 --> 00:10:28.419 misdiagnosed it. Or the bug is resistant. Real 00:10:28.419 --> 00:10:32.120 -time, objective feedback. It's incredible. Which 00:10:32.120 --> 00:10:34.139 actually brings us to a really counterintuitive 00:10:34.139 --> 00:10:37.220 strategic choice Maxime made. Oh, right. Testing 00:10:37.220 --> 00:10:40.639 it on the show string first. Yeah. Most farms, 00:10:40.820 --> 00:10:43.120 when they get a brand new piece of tech, they 00:10:43.120 --> 00:10:45.419 test it. on their commercial cattle first. The 00:10:45.419 --> 00:10:48.059 rank -and -file milking string. Right, you want 00:10:48.059 --> 00:10:50.440 to figure out the software bugs and alert thresholds 00:10:50.440 --> 00:10:52.740 before you trust it with your million -dollar 00:10:52.740 --> 00:10:55.039 genetics. But Maxime did the exact opposite. 00:10:55.379 --> 00:10:58.659 He put it on his absolute best, irreplaceable 00:10:58.659 --> 00:11:01.320 animals headed straight into the high -stress 00:11:01.320 --> 00:11:03.500 royal winter fair. Do a lot of traditional, guys. 00:11:03.580 --> 00:11:05.919 That sounds reckless. It does sound risky, until 00:11:05.919 --> 00:11:08.259 you pull back and look at the underlying economics 00:11:08.259 --> 00:11:11.019 of the show cattle circuit. The financial stakes 00:11:11.019 --> 00:11:13.509 are just... Orders of magnitude different than 00:11:13.509 --> 00:11:16.370 a standard commercial barn. Let's dive into the 00:11:16.370 --> 00:11:18.509 heavy data here. We need to talk about what the 00:11:18.509 --> 00:11:21.929 Bullvine article calls the reputation tax. Oh, 00:11:21.990 --> 00:11:24.990 man. This part of the article is brilliant. It's 00:11:24.990 --> 00:11:27.269 the hidden economics that completely dictate 00:11:27.269 --> 00:11:29.730 the industry. It's supported by some fascinating 00:11:29.730 --> 00:11:32.330 research out of Oklahoma State University. Let's 00:11:32.330 --> 00:11:35.230 look at the cascade of costs for a six -show 00:11:35.230 --> 00:11:38.129 animal. We mentioned the vet call that's $300 00:11:38.129 --> 00:11:41.139 to $500. But then you have wasted entry fees, 00:11:41.320 --> 00:11:44.039 transport costs, specialized clipping and fitting. 00:11:44.200 --> 00:11:48.539 That's easily $1 ,500 to $2 ,500 evaporated. 00:11:48.580 --> 00:11:51.200 Just gone the second you scratch her. But that's 00:11:51.200 --> 00:11:53.600 just the immediate cash outlay. You have biological 00:11:53.600 --> 00:11:56.700 setbacks. The physiological stress of the illness 00:11:56.700 --> 00:11:59.100 during prep can extend her calving interval by 00:11:59.100 --> 00:12:01.840 wicks. And delayed breeding costs real money. 00:12:02.080 --> 00:12:04.899 Industry averages show extended calving intervals 00:12:04.899 --> 00:12:08.549 cost a farm $5 to $6 per day. Every single day 00:12:08.549 --> 00:12:11.350 she remains open. But even that is pennies compared 00:12:11.350 --> 00:12:14.429 to the real blow. Evaporated private sales. Yep. 00:12:14.490 --> 00:12:16.889 If you're a breeder at the Royal, you aren't 00:12:16.889 --> 00:12:19.169 just there for a ribbon. You're marketing your 00:12:19.169 --> 00:12:21.769 genetics to the world. You're having high stakes 00:12:21.769 --> 00:12:24.389 conversations in the aisles. And if a buyer walks 00:12:24.389 --> 00:12:26.149 down your aisle and sees you treating a sick 00:12:26.149 --> 00:12:28.649 animal, or if your star heifer gets pulled from 00:12:28.649 --> 00:12:31.210 the ring. Those private sale conversations vanish. 00:12:31.920 --> 00:12:34.399 Depending on the pedigree, that's a sudden loss 00:12:34.399 --> 00:12:37.740 of $8 ,000 to $25 ,000 in revenue you thought 00:12:37.740 --> 00:12:39.980 you had locked in. Which brings us directly to 00:12:39.980 --> 00:12:42.000 the Oklahoma State University research on seller 00:12:42.000 --> 00:12:44.799 reputation. I'd argue this is the most critical 00:12:44.799 --> 00:12:47.700 part of the whole economic puzzle. I agree. Their 00:12:47.700 --> 00:12:49.980 survey work proved that a seller's historical 00:12:49.980 --> 00:12:53.940 reputation massively influences a buyer's willingness 00:12:53.940 --> 00:12:57.080 to pay. It's exactly like buying a used car or 00:12:57.080 --> 00:12:59.159 dealing with an eBay seller. Right. The product 00:12:59.159 --> 00:13:01.279 might look okay in the photos, but if the seller 00:13:01.279 --> 00:13:04.240 has a terrible rating, you walk away. Or you 00:13:04.240 --> 00:13:06.419 demand a massive discount to offset the risk. 00:13:06.600 --> 00:13:08.659 Let's run the actual numbers from that research. 00:13:08.860 --> 00:13:10.799 Yeah. Because they are staggering. Go for it. 00:13:10.899 --> 00:13:14.299 If you have a positive... Proven reputation as 00:13:14.299 --> 00:13:17.899 a seller. A history of providing healthy animals. 00:13:18.279 --> 00:13:22.559 Buyers will pay a premium of $10 .42 per hundredweight 00:13:22.559 --> 00:13:25.559 for certified cattle. $10 .42 per hundredweight. 00:13:25.779 --> 00:13:28.419 But the wild part is, even for uncertified cattle, 00:13:28.720 --> 00:13:31.320 just having your good name attached gets you 00:13:31.320 --> 00:13:34.899 an automatic premium of $2 .86 per hundredweight 00:13:34.899 --> 00:13:37.620 over the base market price. Your farm's prefix 00:13:37.620 --> 00:13:41.080 literally translates into hard dollars per pound. 00:13:41.220 --> 00:13:44.580 Yes. But here's the bombshell statistic, the 00:13:44.580 --> 00:13:46.940 one that should keep elite breeders awake at 00:13:46.940 --> 00:13:49.980 night. Oh, the walk -away stat. Roughly 25 % 00:13:49.980 --> 00:13:52.279 of buyers, one in four, indicated they would 00:13:52.279 --> 00:13:54.980 completely walk away and refused to bid at all 00:13:54.980 --> 00:13:57.960 on cattle from a seller with a known negative 00:13:57.960 --> 00:14:01.210 health reputation. Wait, 25 % just evaporate? 00:14:01.269 --> 00:14:04.269 One in four. Completely gone. Regardless of how 00:14:04.269 --> 00:14:06.090 good the individual animal standing in front 00:14:06.090 --> 00:14:08.190 of them looks on that specific day. She could 00:14:08.190 --> 00:14:11.350 be genomically perfect. Flawless structural confirmation. 00:14:11.769 --> 00:14:14.289 Perfect utter attachment. Doesn't matter. If 00:14:14.289 --> 00:14:16.250 your farm's brand name took a hit because of 00:14:16.250 --> 00:14:19.370 a messy health failure last year, 25 % of the 00:14:19.370 --> 00:14:21.850 paddles stay down. That is the reputation tax. 00:14:22.090 --> 00:14:24.289 It's brutal. It's a compounding drag on your 00:14:24.289 --> 00:14:26.639 business that follows you for years. And that 00:14:26.639 --> 00:14:29.740 economic context is exactly why Maxime's decision 00:14:29.740 --> 00:14:32.279 wasn't a gamble. It was a calculated insurance 00:14:32.279 --> 00:14:35.720 policy. He was protecting his prefix. Let's look 00:14:35.720 --> 00:14:38.679 at the actual investment math for his barn setup. 00:14:38.879 --> 00:14:42.759 Let's do it. So 22 elite animals. Each bolus 00:14:42.759 --> 00:14:46.059 is 99 Canadian dollars. Okay. Then the infrastructure. 00:14:46.590 --> 00:14:50.750 one internet gateway for $700, and one collector 00:14:50.750 --> 00:14:54.789 unit for $600. So total capital investment. Approximately 00:14:54.789 --> 00:14:59.049 $3 ,478. Canadian dollars. And if you average 00:14:59.049 --> 00:15:02.610 that across the 22 animals, it's roughly $158 00:15:02.610 --> 00:15:06.169 per head. Right. Now weigh that $158 investment 00:15:06.169 --> 00:15:09.190 against the alternative scenario. A single serious 00:15:09.190 --> 00:15:12.230 health incident at a major show, factoring in 00:15:12.230 --> 00:15:14.970 all those costs and the reputation tax, could 00:15:14.970 --> 00:15:17.809 easily exceed $15 ,000 to $30 ,000 in damages. 00:15:18.210 --> 00:15:20.330 When you look at it like that, it's a complete 00:15:20.330 --> 00:15:23.470 no -brainer. You're spending $3 ,500 to build 00:15:23.470 --> 00:15:25.750 a digital fortress protecting you from a $30 00:15:25.750 --> 00:15:29.529 ,000 loss. If it saves just one sale or prevents 00:15:29.529 --> 00:15:32.690 one public disaster, the whole package pays for 00:15:32.690 --> 00:15:35.110 itself instantly. It really reframes how you 00:15:35.110 --> 00:15:37.389 look at hardware costs. It's not an expense, 00:15:37.649 --> 00:15:40.210 it's risk mitigation. And this success story 00:15:40.210 --> 00:15:42.990 from Quebec is just a microcosm of a massive 00:15:42.990 --> 00:15:45.990 shift in the global ag industry. Precision livestock 00:15:45.990 --> 00:15:48.929 farming is exploding. Grandview Research valued 00:15:48.929 --> 00:15:52.330 the global market at about $7 .5 billion in 2024. 00:15:52.809 --> 00:15:55.029 And they projected to hit nearly $20 billion 00:15:55.029 --> 00:15:58.929 by 2033. $20 billion! That's a tsunami of venture 00:15:58.929 --> 00:16:01.149 capital and engineering talent flooding into 00:16:01.149 --> 00:16:03.210 the sector. What that means for you, whether 00:16:03.210 --> 00:16:05.450 you manage a dairy or consult for agribusiness, 00:16:05.649 --> 00:16:07.970 is that early adopters are going to capture a 00:16:07.970 --> 00:16:10.789 massive competitive edge. According to USDA data, 00:16:10.950 --> 00:16:13.669 about 70 % of large -scale farms use some kind 00:16:13.669 --> 00:16:16.149 of precision ag technology right now. But let's 00:16:16.149 --> 00:16:20.059 clarify that. That 70 % usually means automated 00:16:20.059 --> 00:16:23.580 feed pushers or GPS tractors. When it comes to 00:16:23.580 --> 00:16:26.460 wearable livestock tech, the actual biometric 00:16:26.460 --> 00:16:28.679 sensors on the cow, that's only at about a 12 00:16:28.679 --> 00:16:32.379 % adoption rate on large farms. Individual biometric 00:16:32.379 --> 00:16:34.960 tech is significantly lagging behind things like 00:16:34.960 --> 00:16:38.100 robotic milkers. Which means we are still in 00:16:38.100 --> 00:16:41.039 the early days. It's like where row crop ag was 00:16:41.039 --> 00:16:44.679 20 years ago with GPS tractors. The farms that 00:16:44.679 --> 00:16:47.019 figure out the ROI math and integration today 00:16:47.019 --> 00:16:49.240 are going to out -compete their neighbors tomorrow. 00:16:49.580 --> 00:16:52.000 Lower mortality, higher efficiency, protective 00:16:52.000 --> 00:16:55.379 reputations. So if the wave is coming, let's 00:16:55.379 --> 00:16:58.360 treat this next part like a consumer tech review. 00:16:58.799 --> 00:17:01.080 Like we're doing a teardown of the latest smartwatches, 00:17:01.080 --> 00:17:03.279 but for cows. I like that. What are the actual 00:17:03.279 --> 00:17:05.799 hardware options? The Bullvine article breaks 00:17:05.799 --> 00:17:07.640 down three main categories. Let's start with 00:17:07.640 --> 00:17:10.099 the entry -level budget option, ear tag sensors. 00:17:10.650 --> 00:17:12.569 Ear tags are exactly what they sound like. They 00:17:12.569 --> 00:17:15.130 attach to the ear, similar to a traditional plastic 00:17:15.130 --> 00:17:18.269 ID tag. Very low barrier to entry. Super easy 00:17:18.269 --> 00:17:21.150 to apply, very little training needed, and they 00:17:21.150 --> 00:17:23.910 usually run between $30 and $80 a unit. Very 00:17:23.910 --> 00:17:26.549 attractive for large herds wanting basic coverage. 00:17:26.809 --> 00:17:29.470 But there is a glaring gotcha with ear tags. 00:17:29.710 --> 00:17:31.690 Oh yeah. I mean, think about human biology. If 00:17:31.690 --> 00:17:33.829 you want a real temperature reading, you don't 00:17:33.829 --> 00:17:36.109 stick a thermometer to the outside of your earlobe 00:17:36.109 --> 00:17:39.130 on a windy day. Precisely. That is a massive 00:17:39.130 --> 00:17:42.009 vulnerability. They measure skin surface temperature, 00:17:42.309 --> 00:17:45.430 not true internal core temperature. And on a 00:17:45.430 --> 00:17:47.150 working farm in Quebec or the upper Midwest, 00:17:47.470 --> 00:17:50.970 environmental variability is huge. A sudden November 00:17:50.970 --> 00:17:54.349 cold snap or high winds in an open -sided freestall 00:17:54.349 --> 00:17:57.509 barn will drastically lower the surface temp 00:17:57.509 --> 00:17:59.769 of that year. It creates environmental noise. 00:18:00.400 --> 00:18:03.460 False negatives. It can totally mask an actual 00:18:03.460 --> 00:18:06.579 systemic fever brewing inside the cow. So they're 00:18:06.579 --> 00:18:09.339 cheap and easy, but vulnerable to weather. You 00:18:09.339 --> 00:18:11.380 get what you pay for. Let's move up a tier to 00:18:11.380 --> 00:18:14.359 option two, activity collars. These sit around 00:18:14.359 --> 00:18:16.740 the neck like a thick dog collar with a weighted 00:18:16.740 --> 00:18:20.380 sensor box. Costing roughly $80 to $150 a unit. 00:18:20.599 --> 00:18:22.460 They've been around a while. Widely considered 00:18:22.460 --> 00:18:24.539 the gold standard for heat detection. Meaning 00:18:24.539 --> 00:18:26.880 detecting when a cow is in estrus and ready to 00:18:26.880 --> 00:18:29.549 be bred. Right. They use highly sensitive multi 00:18:29.549 --> 00:18:32.230 -axis accelerometers to track movement and resting 00:18:32.230 --> 00:18:35.230 time with incredible precision. But for early 00:18:35.230 --> 00:18:38.250 illness detection, their utility is only moderate. 00:18:38.490 --> 00:18:41.109 Because again, they're external. They can sense 00:18:41.109 --> 00:18:43.089 a drop in activity, but they don't give you that 00:18:43.089 --> 00:18:46.089 vital early core temperature spike. They only 00:18:46.089 --> 00:18:48.950 tell you the cow is lethargic, which is a lagging 00:18:48.950 --> 00:18:51.970 indicator. Which brings us to option three, the 00:18:51.970 --> 00:18:55.720 deep tech option. The rumen bolus. Like the farm 00:18:55.720 --> 00:18:58.359 -fit system Maxime used. Slightly higher upfront 00:18:58.359 --> 00:19:03.319 cost. Around $110 to $125 per head overall. But 00:19:03.319 --> 00:19:04.960 it's an entirely different class of technology 00:19:04.960 --> 00:19:07.420 because it's internal. It's administered orally 00:19:07.420 --> 00:19:10.039 and settles deep down into the reticulum, one 00:19:10.039 --> 00:19:12.140 of the lower stomach compartments. And once it's 00:19:12.140 --> 00:19:14.599 there, it stays safely lodged for the rest of 00:19:14.599 --> 00:19:17.200 the animal's natural life. It's completely insulated 00:19:17.200 --> 00:19:20.180 from the wind, rain, and snow. It measures true, 00:19:20.359 --> 00:19:23.099 unadulterated core body temp every 15 minutes. 00:19:23.319 --> 00:19:25.359 It also tracks rumination patterns through a 00:19:25.359 --> 00:19:28.099 calibrated internal accelerometer and tracks 00:19:28.099 --> 00:19:30.660 overall activity. And the battery life is insane, 00:19:30.839 --> 00:19:33.900 five solid years. It outlasts the average productive 00:19:33.900 --> 00:19:36.960 life of a dairy cow. But there's a specific engineering 00:19:36.960 --> 00:19:40.339 detail in the FarmFit bolus that is just brilliant. 00:19:40.579 --> 00:19:42.579 Oh, the integrated magnet. We need to explain 00:19:42.579 --> 00:19:45.039 this to anyone outside of agriculture. Because 00:19:45.039 --> 00:19:47.460 hardware disease sounds like a computer virus. 00:19:48.140 --> 00:19:51.220 But it's a very real, very gruesome biological 00:19:51.220 --> 00:19:54.259 problem. Cows are indiscriminate eaters. They 00:19:54.259 --> 00:19:56.339 don't sort their food. They use their tongues 00:19:56.339 --> 00:19:59.920 to scoop up massive mouthfuls. If there's a stray 00:19:59.920 --> 00:20:03.079 piece of bailing wire, a rusty nail, or a heavy 00:20:03.079 --> 00:20:05.240 staple mixed into the feed, they just blindly 00:20:05.240 --> 00:20:07.960 swallow it. And because of their anatomy, those 00:20:07.960 --> 00:20:10.920 heavy metal objects sink and settle right in 00:20:10.920 --> 00:20:13.319 the reticulum. Where the bolus sticks. Right. 00:20:13.380 --> 00:20:15.839 But the reticulum is constantly churning and 00:20:15.839 --> 00:20:18.519 violently contracting to break down feed. As 00:20:18.519 --> 00:20:20.599 the stomach wall contracts around a sharp nail, 00:20:20.799 --> 00:20:22.759 the metal can literally puncture through the 00:20:22.759 --> 00:20:25.180 stomach lining. And anatomically, right on the 00:20:25.180 --> 00:20:27.180 other side of that wall is the diaphragm, the 00:20:27.180 --> 00:20:29.500 lungs, and the pericardial sac surrounding the 00:20:29.500 --> 00:20:31.480 heart. A piece of wire piercing the heart is 00:20:31.480 --> 00:20:34.420 excruciating and usually fatal. So for decades, 00:20:34.759 --> 00:20:37.220 farmers have fed cows heavy magnets that sit 00:20:37.220 --> 00:20:39.660 in the reticulum to attract that stray metal 00:20:39.660 --> 00:20:42.160 and keep it safely bundled up. The genius of 00:20:42.160 --> 00:20:44.480 the FarmFit bolus is they integrated that essential 00:20:44.480 --> 00:20:47.500 life -saving magnet right into the biometric 00:20:47.500 --> 00:20:50.420 sensor casing. It solves two totally different 00:20:50.420 --> 00:20:52.319 biological problems with one administration. 00:20:52.740 --> 00:20:55.339 It's just pragmatic engineering. Right. Also, 00:20:55.359 --> 00:20:57.779 a vital technical note for North American producers, 00:20:58.160 --> 00:21:02.400 the FarmFit system operates on a 915 megahertz 00:21:02.400 --> 00:21:05.869 radio frequency. Which is the standard unrestricted 00:21:05.869 --> 00:21:08.450 band here. So you don't run into regulatory hurdles 00:21:08.450 --> 00:21:10.890 or signal dropping like you might with imported 00:21:10.890 --> 00:21:12.950 European systems. And the best business feature, 00:21:13.109 --> 00:21:16.490 no subscription fees. You buy it, you own it. 00:21:16.529 --> 00:21:19.349 No monthly SaaS drain. But if we're doing a true 00:21:19.349 --> 00:21:21.369 objective review, we have to talk about the blind 00:21:21.369 --> 00:21:23.890 spot. Right. No tech is perfect. The internal 00:21:23.890 --> 00:21:26.509 bolus has a significant limitation when it comes 00:21:26.509 --> 00:21:28.829 to detecting one of the biggest, most costly 00:21:28.829 --> 00:21:32.210 issues on a dairy farm. Lameness. Sore feet. 00:21:32.569 --> 00:21:35.890 Think about the physics. The bolus is deep in 00:21:35.890 --> 00:21:37.869 the stomach. It has absolutely no idea what's 00:21:37.869 --> 00:21:39.529 happening five feet away down at the hooves. 00:21:39.670 --> 00:21:41.670 According to the modeling work, the overall detection 00:21:41.670 --> 00:21:45.750 rate for lameness using a bolus is a dismal 5%. 00:21:45.750 --> 00:21:49.150 Most common hoof problems, a sole ulcer, digital 00:21:49.150 --> 00:21:52.349 dermatitis, they don't create a strong systemic 00:21:52.349 --> 00:21:55.109 temperature signal. The cow doesn't run a fever. 00:21:55.250 --> 00:21:58.009 She just limps. The accelerometer might pick 00:21:58.009 --> 00:22:00.410 up a slight decrease in walking, but by the time 00:22:00.410 --> 00:22:02.609 she stops walking because it hurts, You've already 00:22:02.609 --> 00:22:04.670 seen her limping for days. The only time the 00:22:04.670 --> 00:22:06.910 bolus catches lameness is if the hoof develops 00:22:06.910 --> 00:22:09.769 a massive secondary systemic infection that causes 00:22:09.769 --> 00:22:12.450 a full -body fever. So the takeaway is vital. 00:22:12.690 --> 00:22:15.009 If your farm's main challenge is cow comfort 00:22:15.009 --> 00:22:18.029 and sore feet, buying a $50 ,000 stomach sensor 00:22:18.029 --> 00:22:20.289 system isn't going to save you. You're buying 00:22:20.289 --> 00:22:22.890 the wrong tool for the job. The key is matching 00:22:22.890 --> 00:22:25.250 the tech capabilities to the specific biological 00:22:25.250 --> 00:22:28.289 problem on your operation. Which circles us perfectly 00:22:28.289 --> 00:22:30.769 back to why Maxine's showstring was the ultimate 00:22:30.769 --> 00:22:33.440 stress test. we talked about protecting the genetics 00:22:33.440 --> 00:22:36.299 and the reputation but let's look at the biological 00:22:36.299 --> 00:22:38.579 reality of the show circuit you're taking an 00:22:38.579 --> 00:22:41.299 elite heifer pulling her out of her routine putting 00:22:41.299 --> 00:22:44.000 her in a swaying metal box on wheels and driving 00:22:44.000 --> 00:22:46.900 her down the highway for hours It is a profound 00:22:46.900 --> 00:22:50.279 physiological burden. There is a massive body 00:22:50.279 --> 00:22:53.319 of vet research backing this up. Even short hauls 00:22:53.319 --> 00:22:56.299 trigger acute stress responses, elevated cortisol, 00:22:56.619 --> 00:22:59.059 altered immune function, massive shifts in energy 00:22:59.059 --> 00:23:01.420 metabolism. And the physiological changes don't 00:23:01.420 --> 00:23:04.200 magically stop when the trailer parks. The immune 00:23:04.200 --> 00:23:06.700 suppression can persist for days. The article 00:23:06.700 --> 00:23:08.799 cites a comprehensive review by the European 00:23:08.799 --> 00:23:12.650 Food Safety Authority, the EFSA, from 2022. They 00:23:12.650 --> 00:23:15.950 identified 11 distinct welfare consequences that 00:23:15.950 --> 00:23:19.210 hit cattle during transport. 11 vectors of stress. 00:23:19.490 --> 00:23:21.849 Group stress from mixing unfamiliar animals, 00:23:22.069 --> 00:23:25.069 handling stress, heat stress from poor ventilation, 00:23:25.430 --> 00:23:28.089 physical injuries from slips, motion stress, 00:23:28.349 --> 00:23:30.950 prolonged hunger, prolonged thirst, respiratory 00:23:30.950 --> 00:23:34.150 disorders from dust, Restricted movement, restlessness, 00:23:34.269 --> 00:23:36.750 and severe sensory overstimulation. Just sit 00:23:36.750 --> 00:23:38.789 with that brutal cocktail of stressors for a 00:23:38.789 --> 00:23:40.630 second. You're asking an animal to deal with 00:23:40.630 --> 00:23:42.730 the exhausting physical motion, the disruption 00:23:42.730 --> 00:23:45.589 of feed, the terrifying noise of a highway. And 00:23:45.589 --> 00:23:47.529 while her immune system is tanking from all these 00:23:47.529 --> 00:23:49.609 insults, you ask her to look physically perfect 00:23:49.609 --> 00:23:52.289 in a crowded, noisy arena. It's a biological 00:23:52.289 --> 00:23:55.190 tightrope walk. And then you layer on the environmental 00:23:55.190 --> 00:23:58.329 shock. November in Canada. The climate swings 00:23:58.329 --> 00:24:01.819 are brutal. Moving an animal from freezing outdoors 00:24:01.819 --> 00:24:05.000 into a densely packed, climate -controlled show 00:24:05.000 --> 00:24:08.380 barn, it's the perfect storm for a sudden respiratory 00:24:08.380 --> 00:24:11.019 infection. Which makes a feature from ST Genetics 00:24:11.019 --> 00:24:13.940 so incredibly cool. They offer mobile monitoring 00:24:13.940 --> 00:24:16.559 systems. Right. The trailer -mounted collector. 00:24:16.980 --> 00:24:19.279 The bullvine mentioned a farm in Washington state 00:24:19.279 --> 00:24:22.279 that used this. They continuously monitored their 00:24:22.279 --> 00:24:25.119 cattle's core temp and rumination while driving 00:24:25.119 --> 00:24:27.460 them all the way across the country to the World 00:24:27.460 --> 00:24:30.400 Dairy Expo in Wisconsin. Anyone who has hauled 00:24:30.400 --> 00:24:32.680 livestock knows the anxiety of what's happening 00:24:32.680 --> 00:24:35.140 in the blind spot of that trailer. Having that 00:24:35.140 --> 00:24:37.680 continuous data stream pinging your phone in 00:24:37.680 --> 00:24:39.839 the truck cab gives you total peace of mind. 00:24:39.940 --> 00:24:42.000 You can intervene the minute the data spikes 00:24:42.000 --> 00:24:44.660 rather than finding a disaster when you stop 00:24:44.660 --> 00:24:46.900 for fuel four hours later. Okay, so we've talked 00:24:46.900 --> 00:24:49.599 a lot about mature cows and elite show heifers. 00:24:49.740 --> 00:24:51.859 But here's where this deep dive gets really profound. 00:24:52.220 --> 00:24:55.720 We need to shift focus to the young stock. Because 00:24:55.720 --> 00:24:58.420 according to the data, this is the hidden silent 00:24:58.420 --> 00:25:01.799 killer of dairy profitability. This is the massive 00:25:01.799 --> 00:25:05.380 aha moment regarding long -term compounded value. 00:25:05.579 --> 00:25:08.380 We are talking about bovine respiratory disease, 00:25:08.740 --> 00:25:12.779 BRD, specifically in young calves. Most people 00:25:12.779 --> 00:25:15.579 completely miss this when calculating the economics 00:25:15.579 --> 00:25:18.200 of early disease detection. The farm -fit boluses 00:25:18.200 --> 00:25:20.559 are small enough to be safely administered as 00:25:20.559 --> 00:25:23.220 early as the first month of a calf's life. Why 00:25:23.220 --> 00:25:25.519 does the first month matter so much? Why not 00:25:25.519 --> 00:25:27.839 wait until they are older and stronger? Let's 00:25:27.839 --> 00:25:29.940 look at the heavy data from the Bozinski meta 00:25:29.940 --> 00:25:32.299 -analysis published in the Journal of Dairy Science. 00:25:32.660 --> 00:25:35.259 They reviewed 27 different peer -reviewed studies 00:25:35.259 --> 00:25:38.740 focused entirely on BRD in calves. The statistics 00:25:38.740 --> 00:25:40.880 are devastating to the industry's bottom line. 00:25:41.039 --> 00:25:43.900 The baseline incidence rate in the U .S. is incredibly 00:25:43.900 --> 00:25:47.740 high, roughly 37%. More than a third of all dairy 00:25:47.740 --> 00:25:50.319 calves born deal with this respiratory challenge 00:25:50.319 --> 00:25:52.890 early in life. The immediate cost to the farmer 00:25:52.890 --> 00:25:56.990 is roughly $237 per case, factoring in antibiotics, 00:25:57.569 --> 00:26:00.630 lost growth, extra labor. But the article makes 00:26:00.630 --> 00:26:03.910 it clear that $237 is just the tip of the iceberg. 00:26:04.150 --> 00:26:06.430 Right. They track these animals longitudinally. 00:26:06.829 --> 00:26:11.410 Heifers who had BRD as calves face a 2 .9 times 00:26:11.410 --> 00:26:14.930 higher odds of dying later in life. Almost triple 00:26:14.930 --> 00:26:17.930 the risk of death. And 2 .3 times higher odds 00:26:17.930 --> 00:26:20.170 of being removed from the herd before they even 00:26:20.170 --> 00:26:22.789 reach their first calving. But the real tragedy, 00:26:22.849 --> 00:26:25.049 the kicker here, is that the lung damage caused 00:26:25.049 --> 00:26:27.849 by that early infection is permanent. Permanent 00:26:27.849 --> 00:26:30.710 lung scarring. It doesn't heal. When a calf gets 00:26:30.710 --> 00:26:33.930 bacterial pneumonia, it necrotizes the delicate 00:26:33.930 --> 00:26:37.180 lung tissue. And it heals through fibrosis, creating 00:26:37.180 --> 00:26:39.920 tough, inflexible scar tissue. Even if the calf 00:26:39.920 --> 00:26:42.460 receives antibiotics, recovers, and looks fine 00:26:42.460 --> 00:26:45.039 running around the pen, her lung capacity is 00:26:45.039 --> 00:26:47.680 compromised forever. And why does lung capacity 00:26:47.680 --> 00:26:51.200 matter to a dairy cow? She's not running marathons. 00:26:51.299 --> 00:26:53.380 She essentially is running a metabolic marathon 00:26:53.380 --> 00:26:56.990 every single day. Milk synthesis requires massive 00:26:56.990 --> 00:26:59.210 amounts of energy and massive oxygenation in 00:26:59.210 --> 00:27:01.910 the blood. If she has restricted lungs, she can't 00:27:01.910 --> 00:27:04.190 oxygenate her blood efficiently enough to support 00:27:04.190 --> 00:27:06.309 peak milk production. By the time she enters 00:27:06.309 --> 00:27:08.910 the milking stream two years later, she is operating 00:27:08.910 --> 00:27:12.089 at a severe physical deficit. The data shows 00:27:12.089 --> 00:27:15.190 animals with a history of calfhood BRD produce 00:27:15.190 --> 00:27:18.670 an average of 121 kilograms less milk during 00:27:18.670 --> 00:27:22.579 their first lactation. That is wild. The damage 00:27:22.579 --> 00:27:25.200 is done at one month old, and it silently robs 00:27:25.200 --> 00:27:28.140 the farmer of profit every single day of her 00:27:28.140 --> 00:27:30.660 productive life. This is exactly why administering 00:27:30.660 --> 00:27:33.880 a bolus in month one is so powerful. If you catch 00:27:33.880 --> 00:27:36.220 that early core temp spike and treat the respiratory 00:27:36.220 --> 00:27:38.559 challenge instantly before the infection causes 00:27:38.559 --> 00:27:41.400 permanent tissue necrosis, you aren't just saving 00:27:41.400 --> 00:27:44.759 a $200 calf. You are physically protecting the 00:27:44.759 --> 00:27:46.960 lifetime anatomical capacity and profitability 00:27:46.960 --> 00:27:49.740 of your future milking cow. And this raises a 00:27:49.740 --> 00:27:52.339 really important logistical question. As farms 00:27:52.339 --> 00:27:54.900 consolidate, a lot of operations send their calves 00:27:54.900 --> 00:27:57.559 to specialized off -site heifer raising facilities. 00:27:57.880 --> 00:28:00.099 The classic out -of -sight, out -of -mind problem. 00:28:00.420 --> 00:28:02.799 When animals are miles down the road, they simply 00:28:02.799 --> 00:28:04.799 aren't observed as frequently by the same highly 00:28:04.799 --> 00:28:08.339 trained eyes. A continuous internal monitor bridges 00:28:08.339 --> 00:28:11.170 that geographical gap. It gives you a digital 00:28:11.170 --> 00:28:13.690 early warning system for animals drifting off 00:28:13.690 --> 00:28:16.190 track in a distant barn. Saving them before that 00:28:16.190 --> 00:28:18.509 permanent lung scarring occurs, even if the owner 00:28:18.509 --> 00:28:20.789 hasn't visited the facility in a week. Okay, 00:28:20.849 --> 00:28:23.410 we have praised this tech a lot. The saved show 00:28:23.410 --> 00:28:26.509 heifers, reputation protection, BRD prevention. 00:28:26.910 --> 00:28:29.670 But it's time for the critical thinking segment. 00:28:29.950 --> 00:28:32.529 We need to challenge the marketing hype. The 00:28:32.529 --> 00:28:35.490 Bullvine article did not hold back here. We are 00:28:35.490 --> 00:28:37.650 going to look at the uncomfortable, unvarnished 00:28:37.650 --> 00:28:41.240 truth about ROI. Return on investment. This is 00:28:41.240 --> 00:28:43.680 a crucial pivot. We have to look at the data 00:28:43.680 --> 00:28:45.799 from the Simherd study, also published in the 00:28:45.799 --> 00:28:48.279 Journal of Dairy Science. They used complex economic 00:28:48.279 --> 00:28:51.619 modeling based on 65 dairy cows equipped with 00:28:51.619 --> 00:28:54.480 Roman boluses. And the first thing the data revealed 00:28:54.480 --> 00:28:57.259 is that the technology's sensitivity, its ability 00:28:57.259 --> 00:28:59.960 to catch a disease before the farmer does, varies 00:28:59.960 --> 00:29:03.019 wildly depending on the specific disease. Let's 00:29:03.019 --> 00:29:04.779 run down the actual detection rates. We already 00:29:04.779 --> 00:29:07.339 know lameness is 5%. But what about internal 00:29:07.339 --> 00:29:10.640 issues? Retained placenta, the bolus had a 64 00:29:10.640 --> 00:29:13.819 % detection rate. Clinical milk fever, severe 00:29:13.819 --> 00:29:17.900 hypocalcemia, a 61 % detection rate. But then 00:29:17.900 --> 00:29:21.420 it drops off. Mastitis, only 43%. And metritis, 00:29:21.640 --> 00:29:25.880 a severe uterine infection, a dismal 25 % detection 00:29:25.880 --> 00:29:28.809 rate. The biological pattern is clear. Massive 00:29:28.809 --> 00:29:31.450 metabolic conditions where core temp drops or 00:29:31.450 --> 00:29:33.769 spikes early as a primary symptom are caught 00:29:33.769 --> 00:29:37.309 reliably, usually in the 60 % range. But localized 00:29:37.309 --> 00:29:40.130 infections like metritis or mild mastitis only 00:29:40.130 --> 00:29:42.309 trigger the systemic alarms a fraction of the 00:29:42.309 --> 00:29:45.069 time. The tech is absolutely not a magic wand. 00:29:45.269 --> 00:29:47.730 It has very specific biological limitations. 00:29:48.210 --> 00:29:50.609 And here is the real catch. The part tech companies 00:29:50.609 --> 00:29:53.269 don't put in bold print. The financial return 00:29:53.269 --> 00:29:55.869 you get depends entirely on how bad your farm's 00:29:55.869 --> 00:29:57.900 health was before you bought it. It's highly 00:29:57.900 --> 00:30:00.000 counterintuitive to how we usually buy upgrades. 00:30:00.279 --> 00:30:02.779 The study modeled returns based on baseline herd 00:30:02.779 --> 00:30:05.819 health. For farms with poor health, meaning above 00:30:05.819 --> 00:30:08.339 average disease and mortality, the tech was a 00:30:08.339 --> 00:30:10.980 massive win. They saw annual net returns ranging 00:30:10.980 --> 00:30:16.460 from 23 to 119 euros per cow, roughly 25 to 130 00:30:16.460 --> 00:30:19.819 US dollars per cow every single year. Because 00:30:19.819 --> 00:30:22.619 their barn was full of unmanaged fires, and the 00:30:22.619 --> 00:30:24.799 sensors finally let them put out the fires early. 00:30:25.210 --> 00:30:27.589 But what if you are already a great farmer? What 00:30:27.589 --> 00:30:29.849 if your herd falls into the excellent health 00:30:29.849 --> 00:30:32.670 category? The financial math turns completely 00:30:32.670 --> 00:30:35.630 upside down. Excellent health herds saw returns 00:30:35.630 --> 00:30:39.130 ranging from negative 33 euros to positive 63 00:30:39.130 --> 00:30:42.630 euros per cow annually. Negative 33. You might 00:30:42.630 --> 00:30:44.789 actually lose money on the investment. Let that 00:30:44.789 --> 00:30:47.690 really sink in. If your transition program is 00:30:47.690 --> 00:30:50.529 top tier, your barns are spotless, nutrition 00:30:50.529 --> 00:30:53.109 is dialed in, and your staff's observation is 00:30:53.109 --> 00:30:56.859 excellent. Spending $50 ,000 on internal stomach 00:30:56.859 --> 00:31:00.059 sensors is very likely a complete waste of capital. 00:31:00.240 --> 00:31:02.500 Dr. Robert Van Son from Penn State University 00:31:02.500 --> 00:31:06.019 emphasizes this heavily. This tech is a supplement 00:31:06.019 --> 00:31:09.279 to skilled human observation, not a replacement. 00:31:09.660 --> 00:31:11.779 The math only works if there's actually something 00:31:11.779 --> 00:31:13.839 for the sensor to catch that you are currently 00:31:13.839 --> 00:31:16.839 missing. If you are already successfully preventing 00:31:16.839 --> 00:31:19.740 diseases through superior management, the sensor 00:31:19.740 --> 00:31:22.099 has nothing to do but sit there and confirm how 00:31:22.099 --> 00:31:24.420 great you are. And paying tens of thousands of 00:31:24.420 --> 00:31:26.720 dollars for a digital pat on the back is terrible 00:31:26.720 --> 00:31:29.460 business strategy. That money would be much better 00:31:29.460 --> 00:31:32.279 spent hiring an extra part -time farmhand or 00:31:32.279 --> 00:31:34.720 upgrading ventilation fans. To be fair to the 00:31:34.720 --> 00:31:37.420 tech, those ROI numbers for mature cows don't 00:31:37.420 --> 00:31:39.779 fully capture the massive financial upside of 00:31:39.779 --> 00:31:43.000 catching calfhood BRD. But the core economic 00:31:43.000 --> 00:31:46.019 principle holds true. The worse your problems 00:31:46.019 --> 00:31:48.660 are, the more this tech pays off. If you are 00:31:48.660 --> 00:31:51.880 elite, it might drag you down. So as a farm owner, 00:31:52.220 --> 00:31:53.400 How do you know if you should pull the trigger? 00:31:53.720 --> 00:31:56.920 The Bullvine article laid out a brilliantly practical 00:31:56.920 --> 00:32:01.119 3 -0 -9 -0 -3 -65 -day checklist. This is the 00:32:01.119 --> 00:32:03.799 playbook. First, the 30 -day mark. Your first 00:32:03.799 --> 00:32:05.759 step has nothing to do with calling a sales route. 00:32:05.900 --> 00:32:07.980 You sit down and pull your last 12 months of 00:32:07.980 --> 00:32:10.000 vet bills and treatment records. Don't go by 00:32:10.000 --> 00:32:12.400 gut feeling. Actually count your hard cases of 00:32:12.400 --> 00:32:15.319 BRD, metritis, and ketosis. That establishes 00:32:15.319 --> 00:32:17.630 your objective baseline problem rate. That specific 00:32:17.630 --> 00:32:19.990 rate is the ceiling on what the tech can possibly 00:32:19.990 --> 00:32:22.349 save you. If that number is already incredibly 00:32:22.349 --> 00:32:25.349 low, stop right there. Do not buy the tech. But 00:32:25.349 --> 00:32:27.990 if the number is unacceptably high and you decide 00:32:27.990 --> 00:32:31.250 to proceed, you hit the 90 -day mark, the pilot 00:32:31.250 --> 00:32:34.089 phase. Do not buy boluses for the whole herd. 00:32:34.650 --> 00:32:38.130 Pilot the tech on one specific high -risk group, 00:32:38.269 --> 00:32:41.289 like Maxime's showstring or off -site calves. 00:32:41.609 --> 00:32:44.210 And during this 90 -day window, you rigorously 00:32:44.210 --> 00:32:47.720 track one metric. Did the digital alerts actually 00:32:47.720 --> 00:32:49.660 force you to move your medical treatment timing 00:32:49.660 --> 00:32:52.259 earlier? Did it catch things before you saw them? 00:32:52.380 --> 00:32:56.140 And finally, the 365 -day mark. One full year 00:32:56.140 --> 00:32:59.799 in. The moment of truth. You compare the disease 00:32:59.799 --> 00:33:02.039 rates, call rates, and treatment costs of that 00:33:02.039 --> 00:33:04.839 monitored group against your historical baseline. 00:33:05.099 --> 00:33:07.059 It's a harsh financial truth. If those numbers 00:33:07.059 --> 00:33:09.680 didn't undeniably improve, you have to have the 00:33:09.680 --> 00:33:11.799 discipline to ditch the technology. Take the 00:33:11.799 --> 00:33:13.980 loss on the small pilot group and redirect that 00:33:13.980 --> 00:33:16.380 capital into fixing the root causes. Overcrowded 00:33:16.380 --> 00:33:18.740 facilities, moldy feed, under -trained labor. 00:33:18.960 --> 00:33:21.180 Do not let the tech become another expensive 00:33:21.180 --> 00:33:23.279 dashboard you glance at while drinking coffee. 00:33:23.460 --> 00:33:26.140 Raw data is inherently worthless unless it changes 00:33:26.140 --> 00:33:28.339 your physical management decisions. Let's take 00:33:28.339 --> 00:33:30.400 a deep breath and summarize this incredible journey. 00:33:31.119 --> 00:33:35.420 We started with Maxine Petticlerk and a $99 bolus 00:33:35.420 --> 00:33:38.480 catching a fever 12 hours before the human eye 00:33:38.480 --> 00:33:41.359 could see it. which illuminated the brutal hidden 00:33:41.359 --> 00:33:44.400 economics of the elite show circuit, that 25 00:33:44.400 --> 00:33:47.420 % reputation tax. We did a deep dive into hardware 00:33:47.420 --> 00:33:50.119 options, comparing vulnerable ear tags to the 00:33:50.119 --> 00:33:52.740 deep tech bolus with its integrated magnet. We 00:33:52.740 --> 00:33:55.000 examined the severe toll of highway transport, 00:33:55.279 --> 00:33:57.799 highlighting the 11 welfare consequences identified 00:33:57.799 --> 00:34:01.480 by the EFSA. We uncovered the permanent, devastating 00:34:01.480 --> 00:34:05.039 effects of calfhood BRD, causing a massive loss 00:34:05.039 --> 00:34:07.619 of milk production due to fibrous lung scarring. 00:34:07.960 --> 00:34:10.099 And finally, we confronted the hard truth about 00:34:10.099 --> 00:34:13.440 ROI. If you are already an elite manager, this 00:34:13.440 --> 00:34:16.360 tech might result in a net financial loss. It's 00:34:16.360 --> 00:34:19.219 a diagnostic tool, not a universal magic bullet. 00:34:19.380 --> 00:34:21.360 It's been a fascinating deep dive through the 00:34:21.360 --> 00:34:23.980 invisible data streams reshaping global agriculture. 00:34:24.300 --> 00:34:26.260 But I want to leave you with a final, slightly 00:34:26.260 --> 00:34:28.300 provocative thought. Look to the future of the 00:34:28.300 --> 00:34:31.739 market. Exactly. As these rumen boluses become 00:34:31.739 --> 00:34:34.699 cheaper and batteries last a decade, what happens 00:34:34.699 --> 00:34:38.019 to the cattle market itself? Right now, buyers 00:34:38.019 --> 00:34:40.980 rely on visual inspection and historical reputation. 00:34:41.400 --> 00:34:43.800 But what happens when buyers inevitably start 00:34:43.800 --> 00:34:46.539 demanding to see an animal's entire unedited 00:34:46.539 --> 00:34:49.599 lifetime bolus data history before making a purchase? 00:34:49.940 --> 00:34:52.679 What if, before a single bid is cast at the royal, 00:34:52.900 --> 00:34:55.239 the auctioneer displays the heifer's continuous 00:34:55.239 --> 00:34:57.800 temperature graph stretching back to the day 00:34:57.800 --> 00:35:00.440 she was born? Will a mathematically perfect health 00:35:00.440 --> 00:35:02.960 log become the new standard for elite genetics? 00:35:03.320 --> 00:35:05.860 If a cow had a subclinical fever for three days 00:35:05.860 --> 00:35:08.139 when she was two months old, will buyers use 00:35:08.139 --> 00:35:10.500 that permanent digital record to aggressively 00:35:10.500 --> 00:35:13.480 discount her price 10 years later? It fundamentally 00:35:13.480 --> 00:35:16.619 shifts the entire dynamic of trust. The raw, 00:35:16.739 --> 00:35:19.420 immutable data becomes the reputation. The invisible 00:35:19.420 --> 00:35:21.840 becomes undeniable. Thank you for joining us 00:35:21.840 --> 00:35:24.059 on this deep dive. Keep questioning the numbers, 00:35:24.159 --> 00:35:26.360 keep challenging the hype, and keep your eyes 00:35:26.360 --> 00:35:28.329 wide open. For more straight talking industry 00:35:28.329 --> 00:35:31.969 analysis, head to www .thebullvine .com.