Artificial intelligence aided Indian agriculture: A review
Mayur Raj, Jigar Suthar and Nilesh Vegad
Indian agricultural industry needs to become more flexible and effective to meet difficulties like climate change, supply chain disruptions, and growing population etc. Farmers face various hurdles during crop life cycle i.e., right from seed procurement stage to crop harvesting and selling. Also, with depleting resources like land, water, and human labour, it is difficult to match the growing demand of food grain. So, there is substantial need to conserve natural resources and at the same time help farmers. Emerging areas of information technology like Artificial Intelligence (AI) and AI based Internet of Things (IoT), can boost agricultural productivity, increase crop yield & quality, and lower the cost of food production. High computing power from cloud can be used to predict food grain demand and estimate yield by analyzing Big Data using Deep Learning algorithms. This paper reviews penetration of AI usage in Indian agriculture.
How to cite this article:
Mayur Raj, Jigar Suthar and Nilesh Vegad. Artificial intelligence aided Indian agriculture: A review. The Pharma Innovation Journal. 2023; 12(7S): 1426-1429.