Estimating soil properties within a field using hyperspectral remote sensing

A computer-implemented method comprising:

• receiving, by a server computer system, one or more soil spectrum data records from hyperspectral sensors that represent a mean soil spectrum of a specific geo-location of a specified area of land;
• removing, by the server computer system, interference signals from the one or more soil spectrum data records to create one or more soil spectral bands, wherein the removing includes one or more of data smoothing, application of spectral derivatives, standard normal variate preprocessing, and converting spectral reflectance to absorbance;
• selecting, by the server computer system, a subset of the one or more soil spectral bands;
• calculating, by the server computer system, a partial least-square regression between a first matrix and a second matrix, the first matrix including an eigen-decomposition of the subset of the one or more soil spectral bands of the one or more soil spectrum data records, the second matrix including soil property values;
• predicting, by the server computer system, a plurality of soil property datasets based on the partial least-square regression;
• selecting, by the server computer system, one or more specific soil property datasets from the plurality of soil property datasets to represent soil properties of the specific geo-location, based on a quality score, wherein the one or more specific soil property datasets include property data and spectral band data for spectral bands used to determine the property data;
• and
• transmitting, by the server computer system, the one or more specific soil property datasets to a soil database repository for generating a crop prescription that includes a recommended hybrid seed line or population density for the specific geo-location of the area of land.