Author(s)
Dr Anita Singh, Yash Singh Rathour, Sneha Shukla, Vanshika Kushwaha
- ISSN (P): 3139-8464
- Manuscript ID: 141176
- Volume: 2
- Issue: 10
- Pages: 771–775
Subject Area: Agricultural Science
Abstract
Artificial Intelligence (AI) is revolutionizing agriculture by providing data-driven solutions to improve output, preserve resources, and lessen environmental problems. Artificial intelligence-driven innovations, like precision crop management, resource optimization, and pest and disease control, offer customized solutions to boost agricultural productivity while concurrently lowering the adverse effects on the environment. Sustainability is promoted by applications like climate risk prediction, smart irrigation, and precision agriculture, which allow for effective resource usage and well-informed decision-making. Farmers may use AI-powered technologies to forecast and reduce risks, make data-driven decisions, and implement sustainable practices. A deeper comprehension of soil conditions and how they interact with other environmental elements that can support sustainability is made possible by artificial intelligence. By facilitating precision farming methods and maximizing resource efficiency, these advancements optimize yield while minimizing environmental impacts. Future food production could be altered by these advancements, which could also increase the resilience, efficiency, and traceability of agricultural systems.
However, there are obstacles to the general use of AI, such as a lack of infrastructure, technical know-how, and social acceptance, especially in poor nations. This paper emphasizes effective AI uses in agriculture, their contribution to lessening environmental effects, and the necessity of cooperative frameworks to get over adoption obstacles. AI integration can help agriculture meet sustainable development objectives by striking a balance between ecological preservation and productivity.