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.