REIMANN Bernd,HEILI Alexandre,MOHAN Dhiraj,DEBONI José
申请号：
US201715853466
公开号：
US2018177136(A1)
申请日:
2017.12.22
申请国别(地区):
美国
年份:
2018
代理人:
摘要：
A method and system for predicting soil and/or plant condition in precision agriculture with a classification of measurement data for providing an assignment of a measurement parcel to classes of interest. The assignment is used for providing action recommendations, particularly in real time or close to real time, to a farmer and/or to an agricultural device based on acquired measurement data, particularly remote sensing data, and wherein a classification model is trained by a machine learning algorithm, e.g. relying on deep learning for supervised and/or unsupervised learning, and is potentially continuously refined and adapted thanks to a feedback procedure.
