| 摘要 |
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. |
| 主权项 |
1. A method, comprising:
receiving, as input data, a layer of yield event information representing a single crop for a bounded field, the at least one layer of yield event information comprised of a plurality of variables that include a) coverage data as a percentage of the bounded field covered by a crop, b) uniformity data as a variation factor in a crop yield across the bounded field, c) age data as a number of years since the yield event information was collected, and d) weather data that includes both a temperature value for a particular year, and a precipitation value for the at least one layer; analyzing the input data in one or more data processing modules within a computing environment in which the plurality of data processing modules are executed in conjunction with at least one processor, the one or more data processing modules configured to initialize one or more recommendations for a variable rate application for the bounded field based on a multi-year yield analysis of the yield event information, by
1) assigning a weight for the coverage data that decays at a rate beginning at a 90% coverage factor and approaching zero at a point between a 35% to 65% coverage factor,2) assigning a weight for the uniformity data that decays at a linear rate starting between at an 80% uniformity factor and approaching zero at a 10% uniformity factor,3) assigning a weight for the age data based on a collected age of the yield event when a total number of yield events exceeds a specified number of years,4) assigning a weight for the weather data representing increasing decay as the precipitation value deviates further from a normal precipitation value, and as the temperature value deviates further from a normal temperature value, for a period of time represented by the at least one layer, and5) combining the assigned weights for each of the plurality of variables into a single weighted value representing the yield event information; and generating, as output data, one or more site-specific prescription maps of crop yield in the bounded field based on the multi-year yield analysis. |
