AI in Food and Agriculture 2026

John Deere reported at CES 2025 that its See & Spray system — built on the technology it acquired with Blue River in 2017 for around three hundred and five million dollars — had reduced non-residual herbicide use across customer fields by roughly half in the prior season, saving on the order of thirty-one million gallons of chemical. That number is the cleanest single data point in agricultural AI right now. It is not a pilot. It is in customer hands at fleet scale, every spring, across the US row-crop belt.

Food and agriculture is the sector where AI has moved fastest from interesting demo to operational engine, partly because the unit economics work and partly because climate volatility has made the alternative — keep farming the way we always did — visibly riskier. The picture across 2026 is fragmented, with a few clear winners and a long list of names worth knowing.

Precision farming in the field#

John Deere remains the central operator. See & Spray uses around thirty-six cameras to scan crop rows in real time at speeds up to sixteen miles per hour, identifying weeds versus crop and firing only the nozzles that need to fire. At CES 2025 Deere also revealed an autonomous 5ML orchard tractor with Lidar for dense-canopy work and a 460 P-Tier autonomous articulated dump truck for quarries — both built on the second-generation autonomy kit. A full launch of the next-generation perception autonomy kits was set for 2026.

Around Deere, a layer of digital-agriculture platforms competes on data and advisory.

Climate FieldView and the Bayer position#

Climate FieldView, Bayer’s flagship digital-agriculture platform that emerged from the Climate Corp acquisition, is now live in twenty-three countries on more than two hundred and fifty million subscribed acres. Bayer announced new FieldView features in November 2024 aimed at the 2025 planning cycle, focused on turning seed, fertility and crop-protection data into action recommendations. In March 2025 Bayer launched a new line of drought-tolerant corn and soybean seeds in North America, directly tied to climate-resilience demand.

CropX, Taranis, Indigo#

CropX runs soil-sensing and precision-irrigation work, with a meaningful share of the climate-resilient agriculture market. Taranis builds aerial-imaging and AI crop-monitoring services for early detection of disease, weed pressure, and nutrient deficiency. Indigo Agriculture has continued through 2025 with microbial seed treatments, carbon-farming programmes, and a digital advisory layer for farmers.

The pattern across these names is the same: AI is most powerful when it sits inside a closed loop — sensor in the field, model in the cloud, action in the implement.

Livestock AI: dairy first, then swine and poultry#

Connecterra runs an intelligent data platform for dairy that turns sensor and animal-health data into operational recommendations for feed, breeding, and herd management. The customer base includes feed companies, dairy processors, and genetics firms. SwineTech is one of the named operators in precision-livestock-farming AI, focused on pig welfare and operational efficiency. Across both species, the practical value sits in early detection — mastitis in dairy, piglet crushing in swine, heat stress in poultry — and in feed-conversion optimisation.

Food traceability: FSMA 204 is the forcing function#

The FDA’s Food Safety Modernization Act section 204 — the Food Traceability Final Rule — is the regulation reshaping the back end of the US food system. The original compliance date was 20 January 2026. The FDA has since extended the enforcement deadline to 20 July 2028 under a final rule published in 2025, giving the industry an additional thirty months to get traceability records ready for designated foods.

IBM Food Trust, in partnership with iFoodDS through a joint solution announced in September 2023, has become one of the named platforms helping retailers and producers prepare for FSMA 204 — built on the IBM Sterling Supply Chain Intelligence Suite and the iFoodDS Trace Exchange, with GS1 standards for interoperability. Walmart, Tyson, and other large players have published programmes here. The traceability story is not glamorous — it is a CSV exchange problem dressed up as supply-chain modernisation — but it is the regulatory ground on which the next decade of food data will sit.

Wooden bowl of grains, paper-folded leaf, and stylised soil sensor probe on a clean linen surface

Precision fermentation and alt-protein: the cost-curve reality#

Precision fermentation has matured into a real industrial category. The Precision Fermentation Alliance — whose founding membership includes Perfect Day, The EVERY Company, Change Foods, Helaina, Imagindairy, Motif FoodWorks, New Culture, Onego Bio, and Remilk — has formed the industry policy front. Perfect Day’s whey protein and EVERY’s egg protein are the most commercially deployed examples, both showing up in branded consumer products.

The alt-protein story above this layer is mixed. Beyond Meat closed a financing facility in May 2025 providing up to one hundred million dollars in new senior secured debt from Unprocessed Foods, an affiliate of the Ahimsa Foundation — the move read as a survival round rather than a growth round. Impossible Foods has continued, more quietly, with a stable wholesale and foodservice business. The category has not delivered the 2020-era hyper-growth story, but the operational core is intact.

Vertical farming AI: the reality check is in#

The vertical-farming reckoning of 2024–2025 is now a defining episode. Plenty Unlimited, which had raised close to a billion dollars from investors including SoftBank, filed for Chapter 11 in March 2025 and emerged at the end of May 2025 in a leaner form — continuing to operate its Richmond, Virginia strawberry facility. AeroFarms had filed for Chapter 11 in June 2023, emerged in September 2023, and then permanently shut down its Virginia facility in December 2025 with one hundred and seventy-three layoffs. Bowery Farming raised seven hundred million dollars and ceased operations in November 2024.

By some counts, fourteen vertical-farming and controlled-environment-agriculture firms filed bankruptcy in 2025 with combined historical funding above one-and-a-third billion dollars. The lesson is not “vertical farming does not work.” It is that the energy cost, the off-take pricing, and the species selection have to be honest. The survivors — and there are some, especially in the strawberry and high-margin leafy-greens segment — built tight unit economics first and added AI optimisation on top.

Aquaculture: a quieter winner#

ReelData AI is the named operator to know. Founded in 2018, the company runs AI feeding, biomass estimation, and health-and-stress analytics for land-based aquaculture, and closed a Series A of about eight million dollars led by Buoyant Ventures with S2G Ventures and The Nest Family Office. A 2025 partnership with Farm in a Box aimed to combine modular land-based fish-farming hardware with ReelData’s optimisation software. AKVA Group remains a major presence on the more traditional side of aquaculture technology. Aquaculture economics are favourable for AI because feed cost is the single largest operating line and even small improvements in feed-conversion ratio compound quickly.

Food retail AI: assistants, demand forecasting, and the agentic shift#

In June 2025 Walmart launched Sparky, an agentic AI shopping assistant designed to replace keyword search with goal-driven planning — a customer says “host a cookout” and Sparky plans, reasons, and assembles. Walmart originally explored AI-first shopping through OpenAI’s Instant Checkout, then pivoted to embedding its own Sparky into ChatGPT and Gemini and is in discussions with Anthropic to bring Sparky to Claude. Instacart launched a full end-to-end shopping experience inside ChatGPT in December 2025 powered by Stripe and OpenAI’s Agentic Commerce Protocol, then joined Anthropic’s consumer connector batch on Claude in April 2026 alongside Spotify, Uber, Booking.com, and AllTrails. Amazon’s Rufus has continued to expand. Tesco and other European grocers have invested in their own AI assistants and demand-forecasting platforms.

The unit economics are clearest in demand forecasting and waste reduction. Every percentage point of forecast accuracy at a major grocer is worth real money in shrink, stockouts, and labour planning.

Stylised greenhouse interior with rows of green plants under warm grow-light glow and a small data dashboard panel beside them

The international picture#

A handful of national agritech ecosystems are doing distinctive work.

The Netherlands runs around six hundred agritech start-ups and is the second-largest agricultural exporter globally — a position built on greenhouse technology, with AI now woven through climate control, irrigation, and labour planning. Named players include Source, Koppert, Solynta, and Lely.

Israel’s agritech base is anchored in precision irrigation, with drip irrigation cutting water use significantly versus open-field standard, and in greenhouse and data-driven advisory platforms.

Brazil has built strength in bio-fertilisers and digital advisory across its row-crop belt, with drone adoption supported by government programmes.

India’s agritech sector has grown around FPOs — farmer producer organisations — with named platforms working on advisory, market access, and precision recommendations for smallholders.

What the FDA is signalling about AI in food#

The FDA has begun publishing AI-specific guidance for food manufacturers, focused on the use of AI in food-safety decisioning, contamination detection, and recall management. The agency has been clear that AI systems used in safety-critical decisions need documented validation, change control, and human accountability — the same principles it applies to AI in medical devices, transposed into food. For food manufacturers that means AI vendors are being asked, more often, to provide model documentation, evaluation evidence, and clear update policies. The practical effect is that food-safety AI is graduating from “interesting analytics” to “regulated operational system” — a meaningful shift for vendors and for the data engineering teams that support them.

Climate resilience is the through-line#

Across all these stories the unifying force is climate volatility. Drought-tolerant seeds, AI irrigation scheduling, precision herbicide use, fermented protein cost curves, vertical-farming species selection, and traceability under FSMA 204 are all responses to the same underlying pressure. The investment thesis that survives 2026 is “AI as climate-adaptation infrastructure for the food system,” not “AI as a productivity hack on top of the existing food system.”

Where pdpspectra fits#

Agritech and food clients usually have the same operating problem: heterogeneous data — sensors, satellites, ERP, equipment telemetry, weather, regulatory feeds — that needs to land in one place reliably and feed both dashboards and models. Our data engineering practice handles exactly that work — ingestion, modelling, governance, and the pipelines that make precision-farming AI, food-traceability reporting, and demand forecasting actually run in production.

If you are building or buying agritech and want a sober view on what is shipping at scale versus what is still in pilot, we are happy to walk through your stack with you.