Filtering, editing, and cropping yield maps in a R environment with the package cleanRfield

Abstract

AbstractCleaning yield monitor observations to remove erroneous points can improve the accuracy of yield estimates used for farm record keeping or on‐farm research data collection, but current practices are time‐intensive and cumbersome. cleanRfield is an open‐source R package to improve the efficiency of processing spatial agricultural data such as yield maps. Compared with current standard yield monitor data cleaning solutions, cleanRfield can read and interpret a broader range of input data formats. Other key features of cleanRfield include automatic field boundary delineation and batch processing of data from multiple fields. In this Scientific Note, we overview functions within the cleanRfield package and introduce an integrative pipeline to evaluate and visualize yield monitor data. The package is being distributed under the GNU General Public License 2, and a more detailed tutorial including downloading instructions is available at https://github.com/filipematias23/cleanRfield.