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India's agricultural system has been facing a severe problem of crop wastage.A key contributing factor to this problem is that many small farmers lackaccess to reliable cold storage that extends crop shelf-life. To avoid havingleftover crops that spoil, these farmers often sell their crops at unfavorablelow prices. Inevitably, not all crops are sold before spoilage. Even if thefarmers have access to cold storage, the farmers may not know how long to holddifferent crops in cold storage for, which hinges on strategizing over when andwhere to sell their harvest. In this note, we present progress toward asimultaneous hardware and software solution that aims to help farmers reducecrop spoilage and increase their profits. The hardware is a cost-effectivesolar-powered refrigerator and control unit. The software refers to a produceprice forecasting system, for which we have tested a number of machine learningmethods. Note that unlike standard price forecasting tasks such as for stockmarket data, the produce price data from predominantly rural Indian marketshave a large amount of missing values. In developing our two-pronged solution,we are actively working with farmers at two pilot sites in Karnataka andOdisha.

Toward Reducing Crop Spoilage and Increasing Small Farmer Profits in India: a Simultaneous Hardware and Software Solution