Data-Powered Resilient Landscapes

implementation

The present project aims to pilot the use of AI, remote sensing and data analytics with a group of farmer organizations and cooperatives with the purpose of implementing increased climate resilience techniques in agricultural production. Another of the results expected is the capacity for farmer associations and cooperatives to better predict yield and production for improved commercialization and sales. The project will seek partnerships with organizations like CIAT (Centro Internacional de Agricutura Tropical) in order to carry out the data capture and analysis for the project.