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Mr. Sandeep Kumar is an Associate Professor in the Department of Botany at Meerut College, Uttar Pradesh, India. His academic interests include Plant Pathology, Agricultural Biotechnology, Pest Management, and Sustainable Crop Development.
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.
The increasing need for clean energy, environmental sustainability, and carbon emission reduction has expedited the implementation of advanced technology in energy management systems. Sustainable energy management necessitates the optimal use of renewable resources, optimised energy use, predictive maintenance, and astute decision-making across several industries. Deep Learning (DL), a potent subset of Artificial Intelligence (AI), has arisen as a disruptive technology adept at analysing intricate energy statistics, predicting demand and generation trends, optimising resource distribution, and improving the efficacy of sustainable technologies. Integrating deep learning with smart grids, renewable energy systems, the Internet of Things (IoT), cloud computing, and digital twin technologies enables organisations to enhance energy efficiency, mitigate environmental impact, and advance sustainable development objectives. This chapter examines the principles, methodology, applications, problems, and future trajectories of deep learning in sustainable energy management and green technology.