Abstract: India's economy still relies heavily on agriculture, which employs a sizable section of the workforce and makes a major GDP contribution. However, conventional farming practices have grown less sustainable because India faces more issues including climate change, water scarcity, energy inefficiency, and the requirement to provide enough food for a constantly expanding population. By facilitating more accurate and effective agricultural methods, the development of artificial intelligence (AI) presents prospective solutions to these problems. With an emphasis on optimizing resources and precision farming methods, this study explores the integration of AI to environmentally friendly agriculture in India. AI-enabled crop monitoring, soil health management, irrigation optimization, and insect control are among the main areas of interest. The research demonstrates how AI is being used to boost productivity, lessen environmental impact, and guarantee long-term viability in Indian farming by reviewing several case studies from various Indian locations. It also examines the challenges and impediments to the adoption of AI in India's rural areas and talks about prospects for expanded and deeper integration of AI technologies in agricultural practices.
N et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: