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Mrs. Everest Shiwach is an Associate Professor in the Department of Botany at D. N. College, Meerut, Uttar Pradesh, India. Her research interests include Plant Sciences, Crop Protection, Biodiversity Studies, and Sustainable Agricultural Practices.
Pest infestations greatly impact agricultural production, resulting in considerable crop losses and jeopardising global food security. Conventional pest monitoring and management techniques frequently depend on manual field assessments and the administration of broad-spectrum pesticides, leading to delayed reactions, elevated expenses, and environmental issues. Artificial Intelligence (AI) has emerged as a transformative tool for intelligent pest detection and crop protection, facilitating automated monitoring, real-time identification, predictive analytics, and precise intervention tactics. By integrating machine learning, deep learning, computer vision, Internet of Things (IoT), drones, and remote sensing technologies, AI-driven systems can precisely identify pest infestations, evaluate crop health, and suggest focused treatment strategies. This chapter examines the ideas, methodology, technologies, applications, problems, and future trajectories of AI-driven pest detection and crop protection systems, emphasising their significance in sustainable agriculture and precision farming.