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: The present invention relates to a palm-sized air conditioner. The palm-sized air conditioner includes a housing having a top with a vent; batteries are disposed within the housing; an ice chamber is disposed within the housing; a box fan moves air at room temperature through the ice chamber to produce cool air; and vertically adjustable horizontal vanes for receiving the cool air while the box fan passes the cool air up and out of the vent.