Logo
Home
language
Loading...

How Big Tech Ruined Farming

ฟัง/Video/Vendover Productions/How Big Tech Ruined Farming

How Big Tech Ruined Farming

Vendover Productions
4000 IELTS Words3000 Oxford Words5000 Oxford Words3000 Common Words1000 TOEIC Words5000 TOEFL Words

คำบรรยาย (284)

0:00If you were in Las Vegas, in January 2023,  sitting in the audience of the opening keynote  
0:05of CES—perhaps the most influential tech  conference in the world—you likely had one  
0:10question on your mind: “Why is John Deere here?” After all, they’re the tractor company,  
0:15right? They make machines that push and  pull and move and dig, that’s their thing,  
0:21right? Well, not according to their CEO, John May. “We’ve quickly become one of the world’s leading  
0:28robotics and AI companies. Our solutions  leverage technology like computer vision,  
0:35advanced sensing and compute, machine  learning, and data analytics.” 
0:40There’s one key word there: solutions. That’s a  word that gets thrown around a lot by companies  
0:46like Apple “…solution…” “…solution…” “…  solution…”; Microsoft “…we provide an  
0:54end-to-end tooling solution…” “…deceptively simple  solution…” “…the best end to end solution…”;  
1:01Google “…bespoke AI solutions…” “open  sourcing solutions…” “…a great solution…”. 
1:07This linguistic mimicry, their mere attendance  at an event like CES, it’s all… peculiar for a  
1:14tractor company. Unless, does John Deere  think it’s a tech company? Well… yes,  
1:20they do. At least according to themselves, in  this LinkedIn post, sharing an article entitled  
1:26“John Deere: ‘We’re a Technology Company.’” And that assertion appears increasingly less  
1:31absurd. While the company lays off hundreds in  its manufacturing plants, it’s simultaneously  
1:36staffing up its tech divisions. Of fifteen current  US job listings, twelve are in software, data, or  
1:43robotics—just three in manufacturing. The company  has been going through a metamorphosis from one  
1:48that makes machines to one that makes solutions. Apple, for instance, does not merely make  
1:55computers or phones or tablets. They  make integrated technology solutions,  
2:00blending software, hardware, and services into an  ecosystem that envelops ones digital experience.  
2:06Correspondingly, John Deere no longer merely  makes tractors or combines or loaders, but  
2:11rather integrated production solutions—blending  software, hardware, and services into an ecosystem  
2:17that envelops a farmer’s day-to-day experience. At the extremes, the company appears entirely  
2:23disconnected from its original form as a  small Illinois storefront selling shovels and  
2:28pitchforks. Never could John Deere himself have  imagined that his company would eventually go on  
2:32to operate, for instance, a satellite network.  But waxing nostalgic about humble beginnings  
2:38would mask what the company now truly is: it’s not  an endearing family business, it’s not a scrappy  
2:44underdog, it’s a market-domineering behemoth. It  has the business of agriculture, especially in  
2:51America, in a stranglehold. And so might Apple,  with consumer electronics, but farming is not  
2:57something you pick up or put on. It’s not one’s  digital experience, it’s one's entire experience:  
3:03it’s your job, it’s where you live, it’s what  your family does, it’s what your neighbors do,  
3:08it’s what your descendants do, it is an all  encompassing way of life whose future is now being  
3:12dictated by one tractor company that’s decided  it’s big tech. But John Deere’s power, their  
3:18influence, their ability to change the course  of history has been centuries in the making. 
3:24It started with this—the self-scouring  steel plow. Plows had existed in some form  
3:30for millennia—so many millennia, in fact, that we  can’t even say how old they are—but by the 1800s,  
3:35they’d been refined and refined into this: a  single-piece cast-iron plow. These could be  
3:40pulled by an animal, and would efficiently loosen  the soil to bring nutrients to the surface before  
3:45planting a fresh crop. And these worked great, for  the time, except for here—the American midwest.  
3:52The soil of Illinois and its neighbors was thick,  moist, and rooty, in a fashion that would lead  
3:56it to clump on the plow, forcing farmers to  stop every once in a while to clean it off. 
4:01But John Deere had an idea: he  would manufacture the same plow,  
4:05but of polished steel. This cut straight through  the midwestern ground with far greater ease, and  
4:11the soil would shed right off rather than clump.  While he was not the first to invent this concept,  
4:16he was the first to start manufacturing  a steel plow en masse, and his production  
4:19steadily grew into the hundreds per month,  and a later thousands. This innovation played  
4:24an instrumental part in spreading agriculture  across the region, and transformed John Deere  
4:29from a mere shop into a growing manufacturer. By the turn of the century, after the company  
4:34had passed through the generations of the family,  Deere had become a leading agricultural implements  
4:39manufacturer, but the industry landscape was  changing beneath them. Like the plow, tractors  
4:45as a concept, had long existed. Through the 19th  century it was typically animals like horse or  
4:51oxen that pulled plows and other implements,  yet around the world, across industries, animal  
4:56power was being replaced by steam power. Whereas  horse-drawn stagecoaches dominated the past, steam  
5:02trains were now the dominant form of long-distance  transport, so the logic carried that steam-powered  
5:06tractors could replace animal-power on farms.  And they certainly could, the technology existed,  
5:12but steam-powered tractors never became ubiquitous  due to their high up-front and operating cost. 
5:18But with the turn of the century came  gas-powered tractors: cheaper to buy,  
5:22cheaper to operate. Popularity exploded, and while  Deere was originally reluctant to stray beyond  
5:28their agricultural-implement core, they eventually  realized they had no choice if they wanted to  
5:33stay relevant. They tried to design their own,  and it was plenty capable, but it was just not  
5:38competitive. At about twice the price of that of  equivalent machines, their tractor never had any  
5:43shot of commercial success, and then its designer  died from pneumonia following a week of testing in  
5:47the wet and cold, so John Deere rather elected to  just simply buy their top competitor. With that,  
5:53the Waterloo Gasoline Engine Company was folded  into John Deere, and over the following years,  
5:58their tractor, the Waterloo Boy, enjoyed wild  success. Once again, like with the self-scouring  
6:04steel plow, Deere didn’t invent the technology,  but they popularized it—they identified the  
6:09opportunity, scaled up manufacturing, marketed  successfully, and helped transform the tractor  
6:14from a niche, novel technology into the  solution for moving power on the farm. 
6:20Over the decades that followed, the company  transformed again from primarily an implement  
6:24company into a machine company—offering  combines and balers and planters and sprayers:  
6:29essentially anything you needed to turn a field  into a farm. Through much of the 1900s they were  
6:34always a significant, but underdog player in the  industry until the 60s and 70s when their primary  
6:39competitor, International Harvester, began  to falter. And with its collapse in the 80s,  
6:44John Deere took a firm lead in  the industry—becoming the go-to,  
6:49ubiquitous source of agricultural equipment in the  United States. But then, another monumental shift  
6:55in the field. Like the tractor introduced  the mechanical era of farming, information  
7:00technology introduced farming to the digital age.  And again, John Deere had to adjust on the fly. 
7:06This started on June 23, 1995 when Rockwell  International Corporation, traditionally a US  
7:12defense manufacturer, unveiled its proprietary  Vision System—effectively firing the first shot  
7:18of the digital farming revolution. It seems  so simple now, but Rockwell’s Vision System  
7:23was poised to usher in a new age of efficiency by  using defense satellites to pinpoint and track a  
7:28tractor from above, which, in turn, would allow  a farmer to better monitor their field’s yield,  
7:32or when it came time to plant, better disperse  seeds and spray chemicals. Precision farming  
7:37had arrived, and while Rockwell was first,  competitors such as Case Corporation, and Agco  
7:42Corporation were close on the company’s heels. So too was Deere, which took it one step further.  
7:50To the late-90s American farmer, GPS and precision  agriculture was a handy tool, but still a finicky,  
7:56expensive, and difficult-to-use luxury.  It helped, but it wasn’t required. 
8:01At least, not until Deere made it a practical  necessity. As they did when developing their  
8:06tractor, Deere looked further afield  for help. This started at Stanford,  
8:10where the company collaborated with engineers  to develop an autonomous GPS-controlled tractor.  
8:15While it worked, it didn’t work well enough  to take to market. The problem was 1990s GPS  
8:21just wasn’t accurate or dependable enough.  So, more partnerships. Now Deere, along with  
8:27NavCom Technology and NASA’s Jet Propulsion Lab,  sought to figure out how to create a more reliable  
8:32positioning system to support not just yield maps  but autonomous guiding—the former a helpful tool,  
8:38the latter a potentially revolutionary product.  While autonomous guiding may have seemed a  
8:44lofty ambition, its use case was well grounded. Before the rise of precision farming, farming was,  
8:51well, remarkably imprecise. Take, for instance,  actually planting a field. Now, laying down seed  
8:57is actually a rather complicated process with  a whole host of decisions to make and factors  
9:02to consider from when to seed to how to establish  then plant the field’s headlands and borders. But  
9:07regardless of such considerations—or what crop one  is even planting in the first place—each and every  
9:12farmer, since the dawn of the tractor, has dealt  with one major inefficiency: overlap. In farming,  
9:20overlapping is practically unavoidable—as  a tractor operator threads rows back and  
9:24forth across their field, it’s nearly impossible  for there not to be slivers of field—whether it  
9:28be where rows meet headlands, or just between  rows themselves—where the farmer doesn’t pass  
9:33over a small section twice. And considering the  alternative—what farmers call sparing—this makes  
9:38sense: if a farmer is to miss a small sliver  entirely while drilling, there will, of course  
9:43be no crops, if they miss it with pesticides  or fertilizer, the section’s yield will drop,  
9:48if they miss it during harvesting, well that’d  be an expensive and embarrassing mistake, too. 
9:53So farmers overlap. But they try to do so as  little as possible. Experience helps with this, as  
10:00hours in the chair, along with a long-established  sense of pride in maintaining straight rows,  
10:04keeps overlap down. So too do generally normal,  rectangular fields, should a farmer have such a  
10:10luxury. And then there are tricks: spray foams  to mark areas already hit, guideposts along  
10:15fences for visual reference, thoughtfully laid out  tractor paths calibrated to align with the width  
10:19of the farmer’s equipment. But tricks only go so  far. One study has put numbers on the overlaps.  
10:25Across the study’s 17 locations and four years of  planting, the combine driller overlapped at 7.7%,  
10:31spin disk fertilizer at 9.5%, while the sprayer  overlapped at 15.7%, and the cultivator reached  
10:3719%. At every step of the process of growing  something, then, the farmer’s overlap is costing  
10:43them—8% of their seed is being wasted, 10% of  their expensive fertilizer is being overapplied,  
10:48nearly 16% in pesticide and herbicide is doing  more harm than good, and almost a fifth of their  
10:53field is being turned over by the cultivator  for no reason. This means more materials. It  
10:59also means more fuel, it means more time in the  field and in the chair, it means more hours put  
11:03on the machines, and therefore more hours in  the shop and fewer functional seasons. Such  
11:08costs really add up, too, as a bad year will see  costs outpace income, while 10 year averages, in  
11:13the case of Kansas farms from 2010 to 2019, will  only net meager 11.8% profit margins. With such  
11:20touchy and tight finances, unnecessarily wasting  8 to 19% of one’s time and money on overlapping  
11:26is a massive inefficiency. One that Deere was  seeking to address at the dawn of a new century. 
11:33The answer was called Starfire which, by  correcting notoriously inaccurate GPS data  
11:38with ground location data, offered farmers field  mapping accurate to within 3 feet or 1 meter,  
11:43rather than the 10-to-30 foot or three-to-ten  meter accuracy of traditional GPS. With further  
11:48work on the product, by 2004, Starfire 2 provided  accuracy within 1.5 inches or 4.5 centimeters.  
11:55Through the collaboration with Stanford, NASA,  and Navcom who they eventually acquired, Starfire  
12:00positioned the company again on the cutting edge  of the precision farming revolution—not only  
12:05did their product provide superior accuracy  for yield and seed mapping, it was accurate  
12:09enough to address the fundamental inefficiency  of overlapping. Simply equip a machine with a  
12:14Starfire receiver and a monitor then purchase  Deere’s Autotrac program and farmers could now  
12:19guide by precise lines laid out on a screen and  even let the autonomous feature take the wheel. 
12:25Today, through a combination of six uplink sites  on three continents, 46 reference sites around  
12:29the globe, and leased bandwidth from Inmarsat  satellites, the shovel and pitchfork company  
12:34is able to provide greater accuracy than the  public global positioning alternative, optimizing  
12:39every single thread and turn across a farmer’s  field. The influence of such guidance can’t be  
12:45understated. Only 10% of farmers used any sort of  auto steer and guidance system in 2004, but as of  
12:512019, those numbers stood in the mid 50 to 60%  range, and on bigger, thousand-acre farms where  
12:57the economies of scale blunt the upfront cost and  the waste of overlap is only magnified, adoption  
13:02rates of such systems have reached over 80%. By applying the same playbook they did with the  
13:07plow and the tractor—embracing then perfecting  new technology through upfront R&D investment  
13:11while also acquiring sector leaders like  Navcom—Deere helped push farming into a  
13:16new epoch. But that epoch isn’t over, and Deere’s  only dug themselves further into the digital turn. 
13:23Across the dozen American companies Deere has  acquired since 2007, only four are traditional  
13:29hardware manufacturers, the rest, broadly, are in  tech, and increasingly in artificial intelligence,  
13:35machine learning, and automation. In 2017, for  just north of $300 million, Deere purchased Blue  
13:41River Technology, who had recently been testing  their new product called See & Spray—what they  
13:46called the world’s first smart sprayer, which,  by feeding hundreds of thousands of plant images  
13:51through deep learning algorithms was capable of  identifying crops and weeds before then spraying  
13:55herbicide within a quarter-inch accuracy. Not  long after, Deere’s See & Spray Select entered  
14:01the market. Then, in 2022, See & Spray Ultimate  became available for factory installation on 2023  
14:08model 410R, 412R, and 612R Sprayers. With a camera  positioned along every meter of the carbon-fiber  
14:15spray boom, the product would reduce spray volume  by two thirds, saving money on herbicides and, by  
14:20extending trips between refills, saving time and  fuel. The benefits of the next step in precision  
14:26agriculture also provided an environmental benefit  beyond the farmer too, as this product, the  
14:31company projected, would reduce the airborne drift  of chemicals by up to 87% and chemical run-off by  
14:36up to 93%. In this new era of AI and machine  learning precision farming, John Deere was not  
14:43the first, as a Dyson subsidiary entered the smart  spray space earlier. Nor is it alone, as AgZen,  
14:49a commercial outgrowth of MIT research, is pushing  into the space, too. Whether John Deere wins out  
14:54here, as they have so many times in the past with  new technological innovations, remains to be seen,  
15:00but given their history, it feels like a safe bet. Regardless of competition, though, this service,  
15:06capable of plugging right into the broader  John Deere ecosystem, should be a boon for  
15:11the American farmer conscious of cost, yield,  and overall environmental impact of their work.  
15:16Or at least, that’s what it would seem. By standard metrics, farming in the US  
15:21has gotten better across the sector’s  digital revolution—we’re wasting less,  
15:25making better informed decisions,  and growing more than ever: just  
15:28look at average yields for corn, soy, and cotton. But consider the position of the American farmer.  
15:34In the past, being an all green farm—that is  running strictly John Deere equipment—was a point  
15:39of pride. Today, though, it’s increasingly feeling  like an expensive necessity without alternatives.  
15:45New-found hyper efficiency comes with a cost, or  really, a whole host of costs. Say an Illinois soy  
15:51farmer is sizing up purchasing a See & Spray  attachment—well, first they’ll need to have a  
15:56fairly new sprayer to begin with, which if they  don’t have, will be in the ballpark of $50,000.  
16:02Then add on another $25,000 for equipment and  install, which can only be done at an authorized  
16:07dealership. Still, given that soybean pesticides  have reached an all-time high this decade coming  
16:11in at $77 per acre in 2022, and given that  this farmer owns the median sized farm for the  
16:16state at 4,500 acres, considering scale, such an  upfront investment may well be worth it. Without  
16:22See and Spray, pesticides would cost $350,000,  with the product, assuming it cuts spraying  
16:29down to a third, the farmer would only need about  $117,000 in pesticides—so with upfront costs,  
16:35savings total about $62,000. But then another  cost: See and Spray subscriptions cost $4 per  
16:42acre so cut out another $18,000 and the  economics become slightly less appealing.  
16:47And then there’s the less tangible costs. Fundamentally, precision agriculture is  
16:52changing what it means to be a farmer. What was  once an occupation defined by individual autonomy,  
16:57problem-solving, and improvisation is now  increasingly beholden to monitors, screens,  
17:02software subscriptions, and the availability of  manufacturer-authorized technicians. Undoubtedly,  
17:07this is an issue of nostalgia, but it  permeates in costly and frustrating ways too. 
17:13Consider the solar storms that pushed northern  lights as far south as the American midwest. While  
17:18it might’ve been a once in a lifetime experience  for the farmers who stayed up late to see it,  
17:21it caused far more costly problems when the storm  knocked out their navigational systems. Just at  
17:27the moment farmers needed to be out planting corn  their precision navigation systems failed them. 
17:32While solar storms are few and far between,  issues with software programs and machinery  
17:37that’s now more complicated than ever are far too  common and far too difficult to get figured out  
17:42for your life-long farmer. Rather than hauling  a tractor back to the barn to fix a hydraulic  
17:46leak and get back out on the field that same  day, when new-era hardware fails, there’s a  
17:50good chance a farmer will be out of their depth  if it’s on the technology-side of the machine,  
17:54which as the far more finicky side, it likely  is. So rather than fixing it and getting back  
17:59out on the field, the farmer’s left waiting for  an authorized technician who will be expensive  
18:03to pay and costly on time, as it’s unlikely  they’ll be available at the drop of a hat. 
18:08And all that’s without considering whether the  farmer has the tools and information to make the  
18:11fix in the first place—which is also a matter of  contention. Across the past decade, John Deere has  
18:17found itself in the middle of a battle over the  right to repair. For those savvy enough or bold  
18:22enough to fix their own issues, they often need  access to the diagnostic software to begin with,  
18:26which is something Deere’s been slow to hand over.  Their stated reason to keep software restricted is  
18:31a matter of liability and responsibility.  If they hand over the keys, they figure,  
18:35their machines might get used and altered in  ways they shouldn’t. But for an increasingly  
18:39boisterous farming community, this withholding  of key information is simply another way to make  
18:44sure that farmer is also on the hook for costly  repair bills that make their way back to Deere,  
18:49thus providing the company yet another revenue  stream. Regardless as to who is really telling  
18:54the truth, what’s undeniable is that the  farmer is as financially squeezed as ever,  
18:58and with the rise of big tech in farming, they are  increasingly being moved out of the driver’s seat. 
19:04But Deere is facing their own financial  pressure—competition is rising, so they  
19:08have to adapt to maintain their relevance. Over  the past decade, venture capital money has poured  
19:13into startups that insist they can disrupt the  world of food production. Whereas in 2013 there  
19:18were 42 funds focused on the AgriFood space,  today there are almost 300 reaching a peak  
19:24of $53 billion of investment in 2021. A simple  thesis is presented to potential investors—the  
19:31global share of land dedicated to agriculture is  peaking as more and more of the world urbanizes,  
19:36yet simultaneously, the global population is  expected to continue increasing for at least  
19:41half a century more. Therefore, it is objectively  true that we will have to produce more from less,  
19:47and these startups believe the way to do  that is through technological innovation. 
19:52Different companies have different solutions  to this problem—some are focused on “controlled  
19:56environment agriculture,” growing indoors to  eliminate the threats and resource-losses from the  
20:00outdoors; others are leveraging big data analytics  and machine learning to remove the inefficiencies  
20:04of guesswork; while still others are working to  increase outdoor production yields and lower labor  
20:09cost through various forms of autonomy. Building  on early successes in precision agriculture,  
20:13John Deere has committed to developing a fully  autonomous production system for corn and soybean  
20:18by 2030—that means every step from plowing  through planting through harvest without direct  
20:23human involvement. And that’s remarkably  believable. Corn and soybean are planted  
20:29in straight rows with relatively high distance  between each plant, meaning there’s already the  
20:33predictability and margin for error that makes  it easiest for autonomous systems to succeed. 
20:38The combination of innovations like  precision agriculture, indoor growing,  
20:42autonomous production, and more will yield amazing  benefits for us all: in sum, they create a food  
20:47production system that is less expensive and less  resource intensive. But they come at a cost—a very  
20:53literal, incredibly significant, upfront cost. The economics of paying an exorbitant amount for  
20:59a fully autonomous wheat production system work  out first for the absolute largest farms. Just  
21:05as with See & Spray, every innovation promises to  improve efficiency by a certain, small percent,  
21:10so the larger the overall operation, the  more valuable that small percent can be,  
21:15and therefore the more likely the upfront cost  is worth it. So innovations can be worth it,  
21:20but only if you grow a ton of food. This  has been true for a while—there have been  
21:25greater and greater economies of scale  in agriculture—which has contributed to  
21:29a long-term trend of consolidation. Over the past  25 years, the average size of an American farm has  
21:34grown by 7% even as total farmland has declined  8%—as small farms face increasing cost-pressure  
21:41by more-efficient big-ag operations, they  either shut down or sell their land to big ag. 
21:48And as big tech encroaches into farming,  innovation is accelerating, which is great  
21:52by itself, but this leaves the small family farm  behind. A layperson’s perception of farming,  
21:59as a mom and pop living in a homestead in Kansas,  working the fields around, answering to no boss  
22:03but themselves, is becoming a cinematic fiction. Increasingly, those living in regions dominated  
22:10by agriculture work not for themselves, but  for landowners holding hundreds of thousands  
22:15of acres. Often, the owners of this land  live time zones away, meaning profits from  
22:20production are not spent at the local diner  or car dealership, but rather distributed to  
22:24a multitude of investors and left to sit in  mutual funds. This contributes to a further  
22:29gutting of the economy of rural America—one of the  rare ways to build a business outside of cities is  
22:35becoming an increasing impossibility, and rural  resources are being extracted for urban gain. 
22:42This is, in many ways, inevitable. Tech  innovation, across essentially any industry,  
22:48has primarily benefited larger corporations  and incentivized consolidation. Farming,  
22:53being so far from urban areas and so culturally  isolated from Silicon Valley, has long been  
22:59shielded from these forces. Yet today, John Deere  and others have recognized the upside of bringing  
23:05these two worlds together. But this progress will  hurt. The death of the family farm is upon us,  
23:11and the autonomous tractor sits just beyond  the horizon, waiting to unleash its destructive  
23:16ability to incrementally optimize yields. The reason why John Deere’s See & Spray  
23:22technology is so powerful is that it’s able to  interpret visual information and make decisions  
23:27on what a given plant needs in an instant, at  a huge scale. What makes this possible behind  
23:33the scenes is a neural network—the software was  fed millions of images and taught to interpret  
23:38them as a human would. Neural networks are  fascinating as they’re essentially recreating  
23:42a brain in a digital environment, and they’re  also some of the most wide scale instances of  
23:46machine-learning right now, so it’s worthwhile to  understand how they work. And for that, there’s  
23:51our sponsor Brilliant.org. Their class on neural  networks starts by teaching very basic principles  
23:57through interactive problem-solving exercises  and straightforward, intuitive explanations,  
24:01and then goes on to bring these concepts together  into practical applications. I really think they  
24:06understand how to make learning more effective  and more engaging, so they’re perfect if you’re  
24:09the person who really likes to learn a lot  efficiently. In addition to their classes  
24:13on AI topics like neural networks and large  language models, they have dozens more in math,  
24:18computer science, data analysis, and other STEM  subjects, each thoughtfully designed. And to make  
24:23it all practical, they break everything up into  small chunks that can be completed in those small  
24:27moments of your day, either on your computer or  on your phone, making it a perfect way to replace  
24:31your scrolling with something that’ll better your  brain. Whether you’re in school and want to brush  
24:35up on core principles or in the workforce and want  to better understand fundamental math and science  
24:40topics that affect everything, Brilliant.org is  really the best place to learn. And you don’t  
24:44have to trust me, you can see for yourself since  you can try everything Brilliant has to offer,  
24:48for free, for a full thirty days when you go to  Brilliant.org/Wendover. Plus, you’ll also get  
24:5420% off an annual premium subscription and  help support the channel when you sign up.