In an embodiment, a computer-implemented method for predicting subfield soil properties for an agricultural field comprises: receiving satellite remote sensing data that includes a plurality of images capturing imagery of an agricultural field in a plurality of optical domains； receiving a plurality of environmental characteristics for the agricultural field； generating a plurality of preprocessed images based on the plurality of satellite remote sensing data and the plurality of environmental characteristics； identifying, based on the plurality preprocessed images, a plurality of features of the agricultural field； generating a subfield soil property prediction for the agricultural field by executing one or more machine learning models on the plurality of features； transmitting the subfield soil property prediction to an agricultural computer system.
