What Should I Grow Today so I Make Money Tomorrow? Supporting Small Farmers’ Crop Planning with Social, Environmental, and Market Data
Aviva Prins · Christine Herlihy · John P Dickerson
2022 Poster
in
Workshop: 3rd Workshop on practical ML for Developing Countries: learning under limited/low resource scenarios
in
Workshop: 3rd Workshop on practical ML for Developing Countries: learning under limited/low resource scenarios
Abstract
In India, the majority of farmers are classified as small or marginal, and their livelihoods are vulnerable to climate risk. One approach to mitigating this problem is via drip-irrigated greenhouses. We aim to build an optimization-based decision support tool that provides crop planning advice to farmers in conjunction with a nonprofit in India. We propose a Markov decision process approach for this low-resource sector, and discuss key evaluation metrics for the design and implementation phases of our project.
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