Crop Price Prediction

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Predicting the price a given crop will yield in the future is extremely valuable when determining which types of crops to encourage and plant. Many variables go into predicting future prices for a given crop including but not limited to: climate, historical pricing, location, demand indicators, oil prices, and crop health. These and other related potentially predictive variables can be gleaned from myriad data sources including aerial imagery, weather, census, land use, market price and other data including your own.

At Xyonix, we regularly build AI and machine learning models to make predictions based on structured and unstructured data like these. Do you have an interest in accurately predicting crop prices from your data? If so, contact us and perhaps we can work together.