Yafit Cohen

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About

Yafit Cohen is a leading researcher at the intersection of precision agriculture, data-driven farming, and sustainability. Her work critically examines how digital technologies—from sensors and satellite imagery to machine learning—can transform agricultural systems while balancing productivity with ecological stewardship. In her highly cited 2023 paper, *"Data-driven agriculture and sustainable farming: friends or foes?"* (63 citations), Cohen challenges the assumption that more data automatically leads to more sustainable outcomes, arguing instead that knowledge-intensive, context-aware integration of technology is essential. This contribution has shaped debates on the responsible deployment of agri-tech, influencing both academic discourse and practical farming strategies. Beyond this landmark work, Cohen’s research spans remote sensing for crop monitoring, soil health assessment, and the socio-technical dimensions of agricultural innovation. Her impact is evident in the growing adoption of her frameworks by researchers and policymakers seeking to align precision agriculture with long-term environmental goals. For students and scholars, Cohen’s work offers a critical, nuanced perspective on how data can serve—or undermine—sustainable food systems.