Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: Methods and associated structures of forming a microelectronic device are described. Those methods may comprise forming a thin metal-organic layer on a copper structure, wherein the thin metal-organic layer substantially prevents corrosion of the copper structure, and wherein the thin metal-organic layer comprises an organo-copper compound comprising an alkyl group and a thiol group. In addition, methods of applying a high pH cleaning process using a surfactant to improve surface wetting in a low foaming solution is described.