Project Title: Improving Resiliency of Malian Farmers with Yield Estimation: IMPRESSYIELD
Project Type: Climate Change AI Innovation Grants program
Project Coordinator: Prof.Dr.Esra Erten

The overall concept underpinning the IMPRESSYIELD project is based on the current encouraging perspectives for Earth-relevant Remote Sensing-AI applications and on the awareness that free available satellite Earth Observation (EO) is today a data source of great interest and potential for developing countries, not yet sufficiently exploited owing to limited in-situ data, for monitoring Climate Change (CC) risks affecting the African agri-business sector. IMPRESSYIELD, specifically, addresses the monitoring of CC risks of cotton production by providing a specific AI-based tool, the dynamic yield estimation map, integrating freely available EO data and specific crop yield models with an advanced AI approach.

A collaborative research partnership between ITU, ODTU and global Agri Tech startups Agcurate and OKO, proposes an innovative yield estimation method at commune scale and field scale for cotton with a focus on the case study in Mali and Turkey. The collaboration proposes a methodology to fill the data gaps and estimate the potential yield of crops at a field level, and to create an opportunity to provide risk transfer products such as insurance products, allowing farmers to be protected against the risk of climate variability. 

The  project led by ITU was funded by the Climate Change AI Innovation Grants program, hosted by Climate Change AI with the additional support of Canada Hub of Future Earth."