A terrain-aware agricultural intelligence platform active across Mediterranean, tropical highland, and tropical coastal zones. It delivers per-plot AI advisory (text, spoken voice notes, and photo diagnosis) from a zero-data USSD line to Telegram and WhatsApp, integrating OSRM cold-chain routing with ledgered 2G farm-gate transactions. The same engine reaches a Sardinian olive grove and a Kiambu maize plot alike.
Not a mockup. The real bot, on a real phone: a leaf photographed, a disease named, the answer spoken back in the farmer's language.
Solution built. Instead of pen-and-paper registration at schools, farmers sign up once via 2G USSD, creating a persistent digital record that feeds GPS plot verification and EUDR deforestation checks per farm.
Solved. USSD, SMS and voice callback on 2G, and on Telegram and WhatsApp, free-text AI chat, spoken voice notes, and photo diagnosis. One AI brain, every channel, delivered in native languages via Khaya AI. Zero data cost on the phone that can only make a call; richer for the phone that can send a picture.
Solution built. Unstructured 2G USSD reports (pest sightings, flood events, crop stages, yield estimates) are converted into clean database records, documenting regional productivity over time. The farmers generate the data on phones they already own. The platform doesn't just deliver intelligence; it builds the structured dataset that planning, lending, and insurance require.
Solution built. Terrain, soil type, yield gap, drought exposure, and crop pivot economics, assembled per farm from satellite, weather, and market data. Most of these farmers have never seen their own plot from above; satellite imagery is processed on the server and distilled into the numbers that matter (NDVI, slope, soil type) so that first view of their land arrives on a 2G screen instead of a smartphone they don't have. The same JSON feed powers the web dashboard and the USSD line.
Solved. Glossary lookup from the same shortcode, same 5 languages. A term they don't recognize gets a plain-language definition: Wikipedia where one exists, AI-generated where it doesn't, cached and ready the next time they dial in.
One platform. One shortcode. All five problems.
Every step on a 2G signal. Every report makes the next advisory smarter for every farmer in the zone.
Every advisory starts with a dense agronomic brief assembled from live farm data. DeepSeek processes it. The result is distilled to fit inside a 2G USSD session, using less data than a single webpage image.
A second engine reads pictures. A farmer photographs a sick leaf or a pest; a multimodal vision model (Gemini Flash) identifies the disease or insect, rates its own confidence honestly, offers a differential, and (this is the point) fuses the finding with that exact plot's conditions: its VPD, soil, water deficit, growth stage, known local pest pressure. Not "here is what Fall Armyworm is," but "this is Fall Armyworm, on your maize, at this stage, and here is why your humidity makes it worse." At roughly one hundredth of a US cent per diagnosis.
Every confident diagnosis enters a review queue, not the answer library. A local expert confirms, corrects, or rejects it, and only human-verified cases feed back into the model. The AI is fast; the expert is the truth. That is how the dataset stays clean, and how it earns the trust the advice depends on.
The platform was built as a full web dashboard: four climate zones, each with satellite data, yield modelling, drought scenarios, and crop pivots. Then came the harder problem: the same intelligence was completely unreachable to the smallholders who needed it most. USSD was the answer.
Olive groves, tree crops, wine. Satellite NDVI, rainfall/yield overlays, drought scenario modelling, crop pivot analysis. Bombarde Farms is the live deployment. Six years of data.
Maize, mixed smallholder farming at elevation. Gachororo Community Co-Op (Kiambu) is the live client for AI advisory. Full dashboard plus USSD and voice delivery for farmers without smartphones or data.
Near-ocean farming: coconut, cashew, cassava, mixed coastal crops. Humidity, salinity, and wind-risk modelling. Soil profiles tuned for coastal conditions.
The model advising a Sardinian olive grower on irrigation timing is the same model that tells a Kiambu maize farmer whether Fall Armyworm risk is high, delivered over a 2G signal, in Kikuyu, for one cent. Same engine. Every phone. Every zone.
This is NOT just "crop advisory in 4 languages." It is a terrain-aware, financially-modeled, drought-scenario-tested, multi-pivot agricultural decision engine. Here's everything it does: