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This project implements the deep learning architectures fromYou et al. 2017 and applies them to developing countries with significant agricultural productivity (Argentina, Brazil, India).

We also examine the efficacy of transfer learning of yield forecasting insights between adjoining countries; some results were published in the proceedings ofCOMPASS 2018. Our paper can be viewedhere.

Contributers:Anna X Wang,Caelin Tran,Nikhil Desai, Professor David Lobell, Professor Stefano Ermon