A Synergy for Ghanaian Cocoa: SoilPulse AI and DeepLeaf Join Forces

SoilPulse AI, based in Accra, monitors the soil. Its sensors read moisture, nutrients, pH, EC and temperature in real time, and its platform turns those readings into clear recommendations delivered to farmers in local languages, by mobile and SMS.

DeepLeaf, founded in Morocco in 2023, reads the crop. From a single photograph, its AI diagnoses disease, pests and nutrient deficiency across 83 crops and more than 1,500 anomalies, and it is already deployed across four continents through banks, cooperatives and agribusinesses that embed it in their own platforms.

Each technology is complete on its own, and together they enable something new. SoilPulse AI is adding a 360-degree camera to its field kit, and DeepLeaf’s AI reads that imagery. The result is a single record combining soil data, crop diagnosis and geolocated visual proof of the plot, captured on the same farm at the same time.

The two companies met through the Food Systems Innovation Challenge of Wageningen University and Research. In an ecosystem like Wageningen’s, where students, startups, researchers and companies from every continent work on food systems side by side, this kind of serendipity is created rather than waited for. Ideas circulate, the right people see them, and a soil intelligence team in Accra ends up building with a crop intelligence company in Morocco.

From the end of 2026, cocoa entering the European market must be proven deforestation-free and legally produced, traced back to the exact plot where it grew. Certifications alone are not enough. Ghana and Côte d’Ivoire grow roughly 60 percent of the world’s cocoa, most of it on small unregistered farms, and a farmer who cannot produce this proof risks losing access to the European market altogether. For Ghanaian cocoa, few challenges are more pressing.

The combined system generates this proof as part of its normal operation. Every field visit produces geolocated, dated evidence of the plot, the standing crop and the soil, alongside the farming advice the farmer is already receiving. Compliance shifts from a costly separate exercise to something the farmer holds by default.

Farmers stay in the export market. Proof of compliance allows a smallholder to keep selling high-value cocoa to Europe instead of falling back on lower-priced local channels, and a more stable income helps a household through the lean months.

Forests stay standing. When market access depends on verifiable deforestation-free proof, preserving the forest becomes the economically sound choice, plot by plot.

Child labour becomes visible. Plot-level documentation of legal production, now required under European law, makes labour conditions verifiable at the farm itself rather than declared only at cooperative level.

Fewer chemicals go on the field. A farmer who knows exactly what is affecting the crop can treat that problem alone, which means less spraying, lower costs, healthier soil and cleaner beans.

A joint pilot with cocoa producers in Ghana is being set up now, with SoilPulse AI leading on the ground and DeepLeaf providing the technology. The same model is built to repeat: for coffee, rubber and palm oil, and in every market where a local partner owns the farmer relationship and DeepLeaf supplies the intelligence underneath.