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Artificial intelligence --- Agricultural applications.

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Artificial intelligence --- Agricultural applications. --- Agriculture --- Data processing

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The volume presents research works on developing Artificial Intelligence based algorithms and methodologies for making social good that too to a notable one. The book discusses latest findings on efficient technological solutions of e-governance and other areas of life from the leading researchers in the field. The prime focus is on solving socio-economic technical problems using state-of-the-art research findings like fuzzy computing, evolutionary and hybrid frameworks, neuro computing, etc., along with other AI based computation platforms. The topics covered include solution frameworks using Artificial Intelligence based models in application areas like agriculture and rural development, road accident, travel and tourism, solid waste management, rural medical care, crowd sourced election monitoring system, ragging, rape and other abuses, cyber criminals and cyber bullying, disaster management, social good, etc. The book offers a valuable resource for all undergraduate, postgraduate students and researchers interested in exploring solution frameworks for social good problems using artificial intelligence.

Artificial intelligence --- Agricultural applications. --- Industrial applications. --- Medical applications.

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"This book presents a detailed exploration of adaption and implementation of cloud IoT systems in the field of agriculture. Agro IoT bridges the gap between the conventional agricultural methods and modern technologies. Recently, cloud computing, IoT, big data, machine learning & deep learning technologies are initiated to adopt in the smart agricultural engineering. This edited book covers all the aspects of the smart agriculture with state-of-the-art Cloud IoT systems in the complete 360 degree view spectrum. This book is aimed primarily at graduates, researchers and practitioners who are engaged in agriculture engineering"--

Agricultural engineering. --- Internet of things --- Agricultural innovations. --- Agricultural applications.

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"The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields."--

Artificial intelligence --- Agricultural applications. --- Agriculture --- Data processing --- Sustainable agriculture. --- Deep Learning