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AI to improve e-governance and eminence of life : Kalyanathon 2020 / Somnath Mukhopadhyay, Sunita Sarkar, Jyotsna Kumar Mandal, Sudipta Roy, editors.

9789819946778 (electronic bk.)
9819946778 (electronic bk.)
9789819946761
981994676X

Singapore : Springer, 2023.

English

1 online resource (xii, 182 pages) : illustrations (some color).

10.1007/978-981-99-4677-8 doi

Q335

006.3

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.

References -- Applications of Internet of Things in Smart Agriculture -- 1 Introduction -- 2 Precision Farming -- 3 Agricultural Drones -- 3.1 Overall Crop Monitoring -- 3.2 Monitoring Plant Health Issues -- 3.3 Monitoring Field Conditions -- 3.4 Planting and Seeding -- 3.5 Spray Application -- 3.6 Drone Pollination -- 3.7 Drone AI -- 3.8 Security -- 4 Data Analytics -- 4.1 Supply Chain Tracking -- 4.2 Risk Assessment -- 4.3 Food Security -- 5 Smart Greenhouses -- 5.1 Maintain Ideal Micro-climate Conditions -- 5.2 Improve Irrigation and Pollination Procedures

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Online resource; title from PDF title page (SpringerLink, viewed September 18, 2023).

Studies in big data ; v. 130. 2197-6511

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