Smallholder agriculture, food sovereignty, water systems, land stewardship, and the AI infrastructure that supports actually working farmers — not just the consolidated agribusiness market. The largest single opportunity to redirect AI capital toward both climate resilience and the people most exposed to its failure.
The world's smallholder farmers — who feed most of the world — are the ones most exposed to climate volatility and the least served by current tooling. The dominant AI investment is flowing into precision agriculture for industrial-scale farms in developed economies. The catalog's job here: surface the open data, the smallholder-focused extension tools, the land-tenure infrastructure, and the funders supporting regenerative work — the part of the field that treats food as a commons rather than a consolidated commodity market.
AI for the farmers feeding most of the world. Extension tooling, advisory networks, and finance pipelines built around the realities of working smallholdings — not optimized for the John Deere subscription stack.
Video-based agricultural extension at meaningful scale across South Asia and parts of Africa. Locally-produced, peer-to-peer farmer videos paired with AI advisory tooling. The model treats farmers as participants in knowledge production rather than just downstream recipients of expert content, and that's why the adoption sticks.
FarmStack
An open agricultural data exchange protocol developed in partnership between Digital Green and IDH. Lets farmer-facing organizations, cooperatives, and ag-extension platforms move data between systems on terms the farmer organization sets — rather than locking it inside whichever vendor signed the cooperative first.
Bundled seed, training, finance, and market access for over a million smallholder farmers across Kenya, Rwanda, Burundi, Tanzania, Uganda, Malawi, and Zambia. Increasingly using AI tooling on the back end for advisory and logistics — the kind of operator that can absorb new tooling and route it to farmers who actually need it.
Geospatial AI focused on emerging-market agricultural development — predicting yields, mapping economic activity, and surfacing investment opportunities at sub-national resolution. Co-founded out of Stanford. Customers include development finance institutions and agribusinesses operating in markets where conventional ag-data is thin.
Penn State's open mobile crop-disease diagnostics platform. Free smartphone tooling that lets a farmer photograph a damaged plant and get an offline-capable disease identification plus management advice. Strong adoption across East and West Africa. The opposite of the SaaS-priced agronomy stack.
Public satellite data and machine-learning pipelines that anyone can use — researchers, NGOs, ministries of agriculture, journalists. The substrate underneath most credible smallholder-facing tooling, and the part of the stack that has to stay open for the rest of the catalog to work.
Open evapotranspiration data covering the Western US at field scale. Makes water-consumption data legible to farmers, irrigation districts, and state water regulators in arid basins. A rare example of public earth-observation infrastructure that's reshaped working water-management practice rather than sitting in a researcher's archive.
NASA's applied agricultural monitoring program, led out of the University of Maryland. Open methods and tooling for satellite-based crop monitoring, yield forecasting, and food-security analytics. Underpins a lot of the public early-warning infrastructure in regions where commercial ag-data simply doesn't exist.
The UN Food & Agriculture Organization's open geospatial platform. Combines hundreds of layers — soils, climate, market access, poverty — for the countries with the largest food-insecure populations. Weighted toward FAO's institutional priorities, but easily the largest publicly-accessible geospatial agriculture platform.
The Group on Earth Observations Global Agricultural Monitoring initiative. Coordinated public crop monitoring across G20-relevant production regions, feeding into early-warning reports used by humanitarian agencies and food-security policymakers. The infrastructure that lets the world know about a coming harvest failure before it lands.
Sentinel-2 / Copernicus
The EU's Copernicus program and the Sentinel-2 satellites underneath it — the largest single source of free, high-resolution, agriculture-relevant satellite imagery globally. Most of the open agricultural ML work in the catalog ultimately reads from Copernicus tiles. The free public layer the rest of the field rests on.
Measurement, incentives, and farmer-led tooling for the land itself. The soil-and-biology-side of the work — where most of the durable climate-resilience gains live, and where most of the over-financialized "regenerative" carbon products are not.
An emissions and biodiversity calculator built specifically for farm-level GHG accounting. Free for smallholders, paid for commercial supply-chain users. Backed by the Cool Farm Alliance, an unusual collaboration of large agribusinesses, NGOs, and research institutions. One of the few free tools at this layer of seriousness.
A farmer-driven open-technology community for regenerative agriculture. Coordinates open data standards, shared tooling, and collective infrastructure across a network of farms, researchers, and ag-tech projects. The closest thing the regenerative side of agriculture has to a coherent open-data fabric.
Soil microbiome testing for working farms. DNA-sequencing-based diagnostics that surface microbial-community health, disease pressure, and nutrient cycling. Commercial tooling, but priced for working agronomy practice rather than for the academy — and increasingly part of regenerative-transition baselines.
A farmer-driven open-source agricultural tools community. Tool designs, equipment hacks, repair documentation, and field-built solutions shared under open licenses. The right-to-repair end of the field — deliberately positioned against the closed-firmware direction of mainstream ag equipment.
A farmer-led add-on certification meant to defend the original meaning of "organic" against the dilution of the USDA standard, particularly the inclusion of hydroponic and confinement operations. Representative of a wider ecosystem of farmer-led certifications working to keep the labels meaningful.
Sovereignty as the foundation of food security. Mapping infrastructure, land-rights data, and indigenous-led documentation tooling — because no amount of agronomic AI matters if the people working the land can be evicted from it.
Mapeo is an offline-first, peer-to-peer mapping tool built by Digital Democracy with and for indigenous land defenders. Designed for territories where there's no reliable connectivity and where uploading sensitive land-claim data to a corporate cloud would be a security failure. The model for community-controlled spatial data.
A global platform mapping indigenous and community-held lands. Aggregates data from dozens of national and regional partners, with attention to whether tenure is formally recognized, customarily held, or contested. The clearest single picture of how much of the world's land is held by communities that AI investment narratives almost always ignore.
An open-data hub on land governance: tenure rights, large-scale land deals, gender and land, indigenous rights. A neutral aggregator drawing from research institutions, NGOs, and government sources. The reference layer for journalists, civil-society researchers, and policymakers tracking land-rights trends.
Food Sovereignty Alliance
A US-rooted food-sovereignty network organizing around the right of communities to define their own food and agricultural systems. Sits at the policy-and-organizing end of the field rather than the tooling end — relevant to the catalog as a counter-frame to the productivist narrative most ag-AI investment defaults to.
Long-running indigenous-rights organization with active mapping, documentation, and community-radio work. The institutional partner many community-mapping projects route through for advocacy lift, indigenous media infrastructure, and the international human-rights side of land defense.
Distribution as the unsolved part. Producing more food has never been the binding constraint on hunger — the binding constraints are income, distribution, and waste. The tooling that takes those problems seriously, instead of treating them as someone else's downstream issue.
Logistics and routing for surplus-food redistribution. Connects restaurants, corporate cafeterias, and event venues to community partners that can absorb prepared food before it ends up in the trash. Founded and led by Jasmine Crowe-Houston. AI in service of routing and matching, not in service of the platform's own optimization.
A nonprofit platform that pairs surplus-food generators with hunger-relief partners using on-demand pickup and routing. Operates across major US metros. Different operating model from Goodr (nonprofit, volunteer + paid driver mix), same underlying problem of putting prepared food in front of people who need it before it spoils.
The largest US food-bank network. Increasingly running serious data and AI ops for forecasting, sourcing, and equitable allocation across hundreds of regional food banks. Not a tooling project per se, but the operator that absorbs and routes a great deal of the field's logistics work. A serious systems-integration partner.
A research and data nonprofit dedicated to ending food waste. Maintains the most-cited US food-waste dataset and a solutions database mapping interventions to the part of the supply chain they actually move. The reference source for almost any rigorous claim about food-waste impact in North America.
A free app for neighbor-to-neighbor sharing of surplus food and household goods. UK-rooted, now global. The household-tier complement to commercial-and-institutional surplus tooling — addresses the long tail of kitchen-scale waste that logistics-grade redistribution can't economically reach.
Capital that reaches actual farms. The funder ecosystem most aligned with smallholder-first, regenerative, and food-sovereignty work — and the most realistic source of multi-year support for projects in this domain.
A large environment program with significant ag-water work, particularly across the Mississippi River Basin and the Colorado River system. Funds the kind of cross-state water-management infrastructure (open data, monitoring, conservation finance) that smallholder and tribal water rights ultimately depend on. Family foundation; large balance sheet.
The Gates Foundation's Agricultural Development program. Largest-by-far funder of smallholder-targeted ag work in sub-Saharan Africa, including breeding programs, ag-extension, and digital tooling. Editorially complicated — the foundation's seed and biotech direction is contested in food-sovereignty circles — but unavoidable as a capital source.
McKnight's Collaborative Crop Research Program is the long-running gold standard for community-of-practice agroecology funding — multi-year, farmer-researcher partnership models across Africa, the Andes, and Mesoamerica. The funder serious agroecology projects route through when they want patient capital that respects the work.
Schmidt Sciences' growing program funding AI-for-science work, including agriculture and food-systems applications. Capable of writing the kind of multi-year, technically-ambitious checks that pure foundation grants rarely match. The most credible private capital source for serious open-AI-for-agriculture projects.
Rockefeller Foundation Food Initiative
Rockefeller's Food Initiative funds nutrition, food-systems transformation, and the underlying data infrastructure that makes interventions legible. Active in school-meal programs, regenerative procurement, and sustainable-protein research. Long history in the field; deep network of grantee operators.
A Canadian foundation with a long-running food-systems portfolio, particularly around regional food infrastructure, indigenous food sovereignty, and the institutional-procurement leverage that pulls regional supply chains together. The reference point for Canadian-side food-systems funding the rest of the catalog should know about.
This page is a sample of the Food & Land domain. Inclusion is editorial — not a commercial endorsement, not a vetting of every claim a project makes, and not a recommendation that any single tool fits every farm or context. Foundations listed here are not partners; they're documented as the funder ecosystem most aligned with this work, public information, no relationship implied. If you build in this space and we missed you, submit your project below.
Beyond the catalog-wide exclusions, Food & Land has its own line. The farm and the food system are easy to dress up — "precision," "sustainable," "smart" — while operating as land consolidation, labor surveillance, or speculation. Naming the line is part of the work.
If your work fits the Food & Land domain — and is honest about which line it sits on — we want it in the catalog. Submissions are reviewed editorially before inclusion. We may reach out for clarifying details.
Pulled live from the AI for Planet catalog — reviewed editorially, with maturity and evidence flagged. Inclusion is not endorsement; see the curatorial note below. Submissions for the Food & Land domain open Q3 2026.