Crop Analytics Data Chain

Crop Analytics Data Chain

Advances in ML/AI-based crop analytics present opportunities for more informed and accurate decision-making for a range of actors from smallholder farmers to policymakers. The process of transforming raw data to actionable insights for end users involves many steps from collection, to processing, storage and sharing, to analytics, to use, and back to data collection. Our Data Chain Infographic highlights this process and how ground data fits into that process at every step, from collection to model training to information dissemination.

Data Chain Map