Abstract: A classification framework for processing multi-band raster data for display of content included in such data includes a summarization phase and a retrieval phase. The classification framework generates summary descriptions of the multi-band raster data which are substantially smaller than the raster data itself, and approximates quantile breaks in the multi-band raster data so that storage space used to describe observations and network bandwidth required to retrieve the summary descriptions of the multi-band raster data are reduced, enabling speed improvements at least by faster retrieval and performance of computations for generating displays based on the raster data and for large-scale analysis.

Abstract: A multi-year yield analysis in precision agriculture characterizes variables affecting crop yield to enable site-specific prescription mapping for a bounded field. Remotely-sensed imagery of the bounded field is incorporated as a replacement for, or in addition to, one or more of coverage data, uniformity data, age data, and weather data that comprise variables in the multi-year yield analysis. The multi-year yield analysis enables recommendations for variable-rate applications to the bounded field such as seeding, fertilizing, and applying crop treatments.

Abstract: A multi-year yield analysis in precision agriculture characterizes variables affecting crop yield to enable site-specific prescription mapping for a bounded field for one or more crops in the field. The multi-year yield analysis enables recommendations for variable-rate applications to the bounded field such as seeding, fertilizing, tilling, and applying crop treatments. The multi-year yield analysis evaluates each of coverage data, uniformity data, age data, and weather data related to crop yield in the bounded field.