From cultivation to final processing, the U.S. food industry is seeing a wave of new technologies that are revolutionizing the way in which products are grown, sourced, and distributed.
The driving force of those technologies is the application of artificial intelligence to every phase of food production from ʽfarm to fork.ʼ
Much more than a trend, AI is transforming how the industry effectively functions as it deals with major issues such as food safety, labor shortages, sustainability, eternally evolving consumer demands, and a multi-link supply chain.
With projections that the AI-driven food tech market will climb to almost $28 billion by the end of the decade, the scope of impact of the technology is vast as, currently, some 21,000 food production and processing firms in the U.S. generate a combined $1.9 trillion in annual sales, employ more than 1.6 million workers, and collectively rank as the third-largest contributor to the countryʼs overall manufacturing gross domestic product.
AI is already helping farmers to monitor crop health and improve the accuracy and efficiency of the harvesting process, states the MIT Technology Review.
“In agriculture, in labs, AI is powering experiments in gene editing to improve crop resilience and enhance the nutritional value of raw ingredients,” according to the Review. “For processed foods, AI is optimizing production economics, improving the texture and flavor of products like alternative proteins and healthier snacks, and strengthening food safety processes too.”
According to CAS, a division of the American Chemical Society, AIʼs influence “extends beyond mere production processes. Itʼs changing how new food products are conceived, designed, and brought to market” with AI-driven predictive analytics and machine learning, “giving companies the ability to align closer than ever with consumer preferences, drastically reducing the trial-and-error of product development.”
“Predictive analytics,” the group says, “are accelerating R&D cycles in crop and food science with AI reducing the time and resources needed to experiment with new food products and turn traditional trial-and-error cycles into more efficient data-driven discoveries.”
Artificial intelligence “is also bringing data-driven insights to a fragmented supply chain by breaking operational silos and translating vast streams of data into actionable intelligence.”
Notably, the organization says, “large language models (LLMs) and chatbots can serve as digital interpreters, democratizing access to data analysis for farmers and growers, and enabling more informed, strategic decisions by food companies.”
Partnerships, the CAS stresses, are crucial for maximizing respective strengths.
“While large agricultural companies lead in AI implementation, promising breakthroughs often emerge from strategic collaborations that leverage complementary strengths with academic institutions and startups,” it says.
Large companies, it says, “contribute extensive datasets and industry experience, while startups bring innovation, creativity, and a clean data slate,” concluding that “combining expertise in a collaborative approach can increase the uptake of AI.”
The results of just such a partnership were unveiled in June 2025 when DeJong Farms in Edgar, Wisconsin became the first farmer in the state to operate an autonomous tractor ─ an 8R-model developed and built by John Deere and outfitted with an AI-driven control system that handles auto-steering, obstacle imaging, satellite mapping, and real-time data capture.
De Jong is among 20 operators of John Deere model year 2025 and newer 8R and 9R autonomous-ready tractors in the U.S. A full commercial release of the autonomous tractors is planned for 2026.
The tractorʼs operations at the 2,000-acre soybean farm “are completely user-friendly,” says Michael DeJong, owner of the family-run operation.
AI “is making a difference for us in how we’re looking at agriculture, and how we believe agriculture will continue to progress forward,” DeJong told the Wisconsin State Farmer.
“If you’re not investing in technology in some way, shape or form to a level that you become more efficient, get things done faster and understand your crops better, you’re not going to exist in this business,” he added.
The farmʼs current fleet includes two autonomous-ready tractors with plans to expand to three by next year.
In addition to its line of autonomous tractors, John Deere has been incorporating more AI and autonomy into its expanding product line over the past decade.
In August 2021, the company invested $250 million in the acquisition of Bear Flag Robotics, a company that retrofits tractors to make them more autonomous. Four years earlier, the international ag equipment giant paid more than $305 million to buy Blue River Technology, a developer and maker of AI-powered robots that identify weeds and unwanted plants and eliminate them utilizing high-precision blasts of herbicide.
Examples are increasingly plentiful of how artificial intelligence is rapidly becoming the bedrock foundation of virtually all new technologies being folded into the food production and processing sector…
- Rockwell Automation, Inc. has been tagged by Middleby Food Processing to help develop a fully automated, AI-enabled bacon production line. When it becomes operational, the production line will be the first of its kind in the industry. Headquartered in Elgin, Illinois, Middleby Food Processing saw the need to develop a scalable solution to support customers facing rising labor costs, space constraints, and stricter sustainability goals, and then connected with Rockwell to develop the necessary equipment and software.
- Agmatix, a leading provider of AI-powered agronomic solutions, is collaborating with global chemical giant BASF to apply AI in the development of a solution for detecting – and predicting – the presence of soybean cyst nematode (SCN) ─ the leading cause of soybean yield loss in the U.S. which costs growers an estimated $1.5 billion in yield annually.
- Seattle-based Carbon Robotics recently announced the launch of Carbon AutoTractor, an autonomous solution powered by AI that can be installed on existing tractors and remotely monitored by Carbon Robotics operators, who handle interventions in real time to ensure seamless operation. Last year, the company unveiled its LaserWeeder, which uses computer vision, deep learning, robotics, and lasers to eliminate weeds with millimeter accuracy, reducing weed control costs by up to 80 percent and increasing crop yields.
- Researchers at the University of California ─ Merced and the University of California Agriculture and Natural Resources have installed an irrigation system powered by artificial intelligence at an almond farm in the state’s Central Valley. The project includes two test beds ─ one irrigated via traditional methods and one served by the AI-powered system, which measures how much moisture is in the soil, then the potential for movement of water through a tree and eventually out the leaves. The data is then uploaded to the internet for analysis.
- Israel-based start-up AgriPass has developed an apparatus equipped with AI-powered sensors that can be towed on the back of a tractor to identify weeds, map the terrain, and instruct the densely packed weeding heads on the bottom of the machine to cut the roots at their precise location—hundreds per second. The tractor’s movement then pulls them out. The system the company says combines the need by vegetable growers for quick weed removal and minimal tillage in a single non-chemical operation.
- Climax Foods employs AI in its “Deep Plant Intelligence” platform which precision formulates plant-based foods to optimize taste, texture, and nutritional value yielding faster cycle times and superior end products. Utilizing the new platform, the Berkeley, California-headquartered company has been able to master the production process of difficult-to-produce artisanal cheeses like brie, feta, chevre, and blue cheese in just two to three years. The company also recently announced the discovery of the first-ever plant-based protein ingredient replicating the melt and stretch of the dairy protein casein
- Syngenta Vegetable Seeds and Heritable Agriculture are working together to apply artificial intelligence (AI) in determining the best vegetable varieties for growers. The initiative aims to use AI tools to accelerate seed placement decisions by analyzing historical data on geographical conditions, crop trials, and other key variables. Heritable Agriculture is developing an AI platform to model the interaction between genetics, soil variables, and weather conditions to predict vegetable seed performance. Syngenta does business in more than 60 countries and exports vegetable seeds to 124 countries.
- Monarch Tractor of Livermore, California has rolled out an AI-powered, all-electric, driver-optional tractor now working in several of the stateʼs vineyards. The companyʼs MK-V model can run up to 14 hours on a charge and be ready to roll again after six hours plugged in, while Farmwise, also based in California, has developed an AI-guided mechanical weeder and tiller that uses computer vision and robotics to identify and pluck weeds, running day or night, reducing the need for herbicides.
