Agricultural Intelligence: AI-driven performance frameworks for modern farming

Chappidi, Sai Ram (2025) Agricultural Intelligence: AI-driven performance frameworks for modern farming. International Journal of Science and Research Archive, 14 (1). pp. 1078-1084. ISSN 2582-8185

This comprehensive article explores the transformative impact of Artificial Intelligence (AI) in modern agriculture, examining its core components, industry applications, and future directions. The article investigates how AI-driven systems revolutionize farming operations through advanced data analytics, machine learning, and computer vision technologies. It details the implementation of precision agriculture technologies, intelligent crop health management systems, autonomous farming operations, and supply chain optimization. The article examines real-world applications through case studies of major agricultural technology companies, analyzing their innovations in autonomous machinery and smart spraying systems. The article evaluates the quantifiable benefits across operational improvements, environmental impact, and quality enhancement while exploring future developments in quantum computing integration, advanced autonomous systems, and climate change mitigation strategies.