Imagine a digital Swiss Army knife for farmers in Africa. Instead of checking five different apps for weather, soil, and insurance, they get one tailored package that tells them exactly what to do on their specific piece of land. This helps them grow more food even when the weather goes crazy, so they don't have to leave their homes for the city to survive.
Climate services for African farmers are currently fragmented and top-down, making them impractical for local use. This leads to food insecurity and forced migration to cities.
AI-based hyperlocal forecasts, thunderstorm nowcasting, eWaterCycle simulations, and a Foodshed Information Service prototype.
If you are a digital farming platform provider dealing with low user adoption of generic weather data — this project developed AI-based hyperlocal forecasts and thunderstorm nowcasting that provide specific, actionable advice for small-scale farmers.
If you are an agricultural insurance firm dealing with high risk uncertainty in East and West Africa — this project developed harmonised datasets for weather, soil, and hydrology to better price risk and create social safety nets.
If you are an irrigation technology company dealing with inefficient water use in drought-prone areas — this project developed eWaterCycle simulations and soil water management tools to optimize crop hydration.
Based on available project data, the project aims to develop affordable and sustainable business models for the services, though specific price points are not listed.
Yes, the project is designing scalable solutions and is currently testing them across three different countries: Kenya, Ghana, and Zimbabwe.
Based on available project data, the IP details are not specified, but the project involves a consortium of 15 partners including 5 SMEs and 3 industry players.
The project focuses on policy uptake and mainstreaming climate services into national planning to ensure they are politically relevant.
The project runs from 2024-01-01 to 2027-12-31, with an initial set of Proofs-of-Concept already listed as a deliverable.
The consortium is well-balanced for commercialization, featuring a 20% industry ratio with 3 industry partners and 5 SMEs. Led by Wageningen University, the group spans 8 countries, combining academic research with practical SME agility to ensure the AI tools and climate atlases are market-viable.
Contact Wageningen University regarding the Foodshed Information Service prototypes.
Contact us to connect with the SAFE4ALL consortium for licensing AI-based hyperlocal forecasting tools.
