US 12,456,060 B2
Discovering farming practices
Smitkumar Narotambhai Marvaniya, Bangalore (IN); Umamaheswari Devi, Bangalore (IN); and Shantanu R. Godbole, Bangalore (IN)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Nov. 17, 2020, as Appl. No. 16/950,266.
Prior Publication US 2022/0156603 A1, May 19, 2022
Int. Cl. G06N 5/04 (2023.01); A01B 79/00 (2006.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06T 7/70 (2017.01); G06V 10/75 (2022.01); G06V 20/10 (2022.01)
CPC G06N 5/04 (2013.01) [A01B 79/005 (2013.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06T 7/70 (2017.01); G06V 10/758 (2022.01); G06V 20/188 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/30188 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer implemented method, comprising:
training a machine-learning model to produce customized farming practices specific to a farm to increase crop yield;
wherein the training comprises obtaining, from remote sensed data, (i) information corresponding to a crop of each of a plurality of farms and (ii) information corresponding to farming practices of each of the plurality of farms, wherein the farming practices further comprises different farming techniques;
wherein the training further comprises detecting, from the remote sensed data, geographical features and farming characteristics of each of the plurality of farms;
wherein the machine-learning model identifies relationships between (iii) the obtained crop information and farming practices information and (iv) the detected geographical features and farming characteristics;
automatically discovering, for a specific farm in an identified geographical location, utilizing the trained machine-learning model, and from farm-specific remote-sensed data including the farming characteristics, current farming practices; and
based on the discovered current farming practices, determining, utilizing the trained machine-learning model, the customized farming practices including changes and improvements to the discovered current farming practices, wherein determining the customized farming practices further comprises correlating the crop yield with the discovered current farming practices, and recommending the customized farming practices for improving the crop yield.