Francisco Alvarez,Mir Ali,Jeff Melching,Erich Hochmuth
申请号：
US16574991
公开号：
US20200097851A1
申请日:
2019.09.18
申请国别(地区):
US
年份:
2020
代理人:
摘要：
A computer-implemented data processing method providing an improvement in executing machine learning processes on digital data representing physical properties related to agriculture is described. In an embodiment, the method comprises: receiving, from a computing device, a request to browse machine learning models stored in a digital model repository； retrieving, from the digital model repository and transmitting to the computing device, information about the machine learning models stored in the digital model repository； receiving, from the computing device, a selection, from the machine learning models, of a particular model and receiving particular input for the particular model； using resources available in a model execution infrastructure platform, executing the particular model on the particular input to generate particular outputs； transmitting the particular output to a computer configured on an agricultural machine to control the agricultural machine as the agricultural machine performs agricultural tasks in an agricultural field.
