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Artificial intelligence and carbon footprints: Roadmap for Indian agriculture
Author(s) -
Mor Surender,
Madan Sonu,
Prasad Kumar Dharmendra
Publication year - 2021
Publication title -
strategic change
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.527
H-Index - 16
eISSN - 1099-1697
pISSN - 1086-1718
DOI - 10.1002/jsc.2409
Subject(s) - agriculture , agrarian society , software deployment , business , process (computing) , decision maker , natural resource economics , computer science , economics , engineering , operations research , geography , archaeology , operating system
Artificial intelligence technology in the agricultural sector can reduce carbon emissions from agrarian activities and revitalize the whole industry. The Indian agricultural sector has become costly, time‐consuming, and outdated owing to the global warming process. The deployment of AI technology in Indian agriculture is still a distant dream, given the peculiarities like small‐size farms, traditional farming methods, lack of credit, storage facilities, and the decision maker's risk‐seeking attitude. AI solutions need to be delivered at the farmers' doorstep in their local language, with proper training, input support, and in collective/cooperative manner for realizing sustainable and green agriculture.