Inventors
Smitkumar Narotambhai Marvaniya, Umamaheswari Devi, Shantanu R Godbole
Publication date
2022/5/19
Patent office
US
Application number
16950266
Description
One embodiment provides a method, including: training a machine learning model to produce customized farming practices specific to a farm to increase crop yield; wherein the training includes obtaining, from remote sensed data,(i) information corresponding to a crop of each of a plurality of farms and (ii) information corresponding to farming prac tices of each of the plurality of farms; wherein the training further includes detecting, from the remote sensed data, geographical features and farming characteristics of each of the plurality of farms; wherein the machine-learning model identifies from relationships between (iii) crop information and farming practices and (iv) geographical features and farming characteristics; and discovering, for a specific farm in an identified geographical location, utilizing the trained machine-learning model, and from farm-specific remote sensed data, farming practices.
Scholar articles
SN Marvaniya, U Devi, SR Godbole - US Patent App. 16/950,266, 2022