Crop rotation based computer-implemented method for estimating a consumption of an agricultural product for a geographical region

A system for estimating a consumption of an agricultural product for a geographic region, the system comprising:

• one or more computing nodes and one or more computer-readable media having thereon computer-executable instructions that are structured such that, when executed by the one or more computing nodes, cause the system to perform the following steps:
• providing satellite imaging data for the geographical region of the previous growing season and at least one further historic growing season;
• determining historic crop classification data from at least the historic satellite imaging data, the historic crop classification data comprising information on the crop types grown on the agricultural fields in the geographic region for the at least two historic growing seasons;
• providing a crop rotation model for classifying crop rotation patterns in the geographic region, the model at least being based on the historic crop classification data for the geographic region;
• determining crop rotation patterns of agricultural fields in the geographic region based on the historic crop classification data of the agricultural fields by using the crop rotation model;
• determining future crop data comprising information on the area of the geographic region cultivated with a specific crop in the current or the next growing season at least based on the historic crop classification data of the agricultural fields by using the crop rotation patterns of the agricultural fields;
• providing a product consumption model for the agricultural product configured to estimate a consumption of the agricultural product at least based on the future crop data;
• and
• providing an estimation of the consumption of the agricultural product for the geographical region at least based on the future crop data using the product consumption model.