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: Medical treatment table having one degree of freedom and including slidable foot-ankle harnesses for securing a patient's legs to one end of the table. The foot-ankle harnesses slidably move on one end of the table either manually or electrically. The table is tilted by way of an electric motor or a manual override crank. A cervical traction harness at the other end of the table can also be used in conjunction with the table. The table is for the treatment of medical conditions or disorders predetermined by doctors.