DECISION SYSTEM FOR SEED PRODUCT AND/OR CROP NUTRITION PRODUCT APPLICATION USING REMOTE SENSING BASED SOIL PARAMETERS

In order to achieve a more effective application of a seed product and/or crop nutrition product, a computer-implemented method is provided for applying a seed product of at least one crop and/or applying crop nutrition product to at least one crop in a field. The method comprises the steps of collecting remotely-sensed data of the field before an application of the seed product and/or crop nutrition product in the field, determining, based on the collected remotely-sensed data, at least one soil parameter at a plurality of locations in the field, generating, for each of the plurality of locations, a predicted yield response to the application of the seed product and/or crop nutrition product for the at least one crop based on the at least one determined soil parameter and a prediction model, wherein the prediction model is parametrized or trained based on a sample set including a plurality of different values of the at least one soil parameter and associated yield responses for the at least one crop under the application of the seed product and/or crop nutrition product, deciding, for each of the plurality of locations in the field, whether to treat or not based on the predicted yield response, and outputting information indicative of the decision useable to activate at least one treatment device to comply with the decision.