Abstract: Systems and methods are provided for use in processing image data associated with crop-bearing fields. One example computer-implemented method includes accessing a first data set including images associated with a field, where the images have a spatial resolution of about one pixel per at least about one meter, and generating, based on a generative model, defined resolution images of the field from the first data set. In doing so, the defined resolution images each have a spatial resolution of about X centimeters per pixel, where X is less than about 5 centimeters. The method also includes deriving index values for the field, based on the defined resolution images of the field, and predicting a characteristic (e.g., a yield, etc.) for the field based on the index values and, in some implementations, at least one environmental metric for the field.

Abstract: Systems and methods are provided for use in processing image data of crops associated with one or more plots. One example computer-implemented method includes accessing a data set including images associated with one or more plots. The method then includes, for each plot, comparing a first index value of a first image of the plot at time n to an index value of a second image of the plot at time n+1; in response to the second index value being greater than the first index value, flagging the second image; and modifying the data set by removing at least part of the second image based on the flag. The method further includes accessing phenotypic data for the one or more plots at a time consistent with the images and training a model based on data including the modified data set and the accessed phenotypic data.