Methods and systems for providing soybean variety placement using variety profile index

A computer-implemented method for performing variety selection and placement based on variety profile index values, comprising:

• receiving, via one or more processors, a machine data set corresponding to an agricultural field, wherein the machine data is labeled with known variety profile index values;
• retrieving, via the one or more processors, one or more spatial data files corresponding to the agricultural field;
• processing, via the one or more processors, the spatial data files and the machine data set using a regression machine learning model to generate predicted variety profile index values corresponding to each of a plurality of sub-field environments within the agricultural field;
• and
• generating, via the one or more processors, an electronic agricultural prescription file for the agricultural field by processing the predicted variety profile index values.

A non-transitory computer-readable medium having stored thereon computer-executable instructions that, when executed by one or more processors, cause a computer to:

• receive a machine data set corresponding to an agricultural field, wherein the machine data is labeled with known variety profile index values;
• retrieve one or more spatial data files corresponding to the agricultural field;
• process the spatial data files and the machine data set using a regression machine learning model to generate predicted variety profile index values corresponding to each of a plurality of sub-field environments within the agricultural field;
• and
• generate an electronic agricultural prescription file for the agricultural field by processing the predicted variety profile index values.