Principal Investigator Danielle Wood
Farming has always been a stressful, unpredictable occupation, but misguided government policies and increasing drought have devastated many family farms and caused suicide rates to skyrocket. In response, MIT researchers are developing an AI framework to make small-scale farming and agriculture markets more efficient. Initiated and led by graduate student Neil Gaikwad, the project will help farmers in the U.S. and India predict how much corn and cotton to plant, and when, and give them market information to make better decisions. The framework is also meant to help policymakers fairly allocate shared resources like water and electricity.