Abstract: Systems and methods for use in assessing a treatment trial in an agricultural field. One example method includes, for each of multiple treatment trials in agricultural fields, generating, by a computing device, a post-harvest trial block, based on multiple data layers associated with the agricultural field, where the post-harvest trial block defines an area of the agricultural field associated with the treatment trial; clustering, by a computing device, a training set of the post-harvest trial block based on one or more geospatial features of the areas of the post-harvest trial blocks; training, by the computing device, a model to indicate a label for a target post-harvest trial block based on the one or more geospatial features of an area of the target post-harvest trial block; and storing the label in a memory.

Abstract: Systems and methods for use in identifying a set of candidate seeds for a target field based on a prediction model are provided. One example method includes accessing, by a computing device, data from a data server, the data including data representative of seeds harvested from at least one of a research growing space, a development growing space, and a field growing space; generating a yield delta prediction model, based on at least a portion of the accessed data; for each of a plurality of candidate seeds, automatically generating a probability of a yield delta for the candidate seed, relative to a target seed, exceeding a performance threshold, based on the generated model; identifying, by the computing device, a set of the candidate seeds, based on the probability of the respective candidate seed satisfying a defined threshold; and outputting, by the computing device, the identified set of seeds to a user.

Abstract: A method and apparatus for adjusting seeding rates at a sub-field level is provided.