Using Satellite Images and Artificial Intelligence to Improve Agricultural Resilience

Using Satellite Images and Artificial Intelligence to Improve Agricultural Resilience

Big data and artificial intelligence offer new ways to solve age-old problems, such as how to feed a growing population. Under our Grand Challenge program, RTI is funding research and analysis based on these technologies to promote agricultural resilience and food security in Rwanda. Most of Rwanda’…

Case Study: Most of Rwanda’s crop production comes from smallholder farms. The country’s agriculture officials have historically had insufficient data on where crops are cultivated or how much yield to expect — a hindrance for government’s future planning. Building on previous work with emerging technologies, machine learning, economics, and agriculture, the paper develops a new decision-making tool that can be applied in Rwanda and beyond.