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Mrs. K. Enosha is an Assistant Professor in the Department of Electronics and Communication at JP College of Arts and Science, Tenkasi, Tamil Nadu, India. Her academic interests include electronics, communication technologies, and intelligent computational applications. She contributes to the development of AI-enabled approaches for plant disease detection and smart agricultural systems.
Plant ailments significantly influence agricultural yield, crop calibre, and food safety. Prompt and precise detection of plant ailments is crucial for reducing agricultural losses and facilitating prompt intervention strategies. Traditional disease detection often relies on manual field assessments and agricultural knowledge, which can be labour-intensive, subjective, and challenging to implement throughout extensive farming regions. Recent developments in Artificial Intelligence (AI), computer vision, deep learning, the Internet of Things (IoT), unmanned aerial vehicles (UAVs), remote sensing, and edge computing have facilitated the automation of plant disease identification.Autonomous AI agents can establish a basis for anticipatory, scalable, and data-informed plant health management, all while ensuring suitable supervision from farmers and agronomists.