Intelligent Designs, Innovations and Sustainability in Agriculture 4.0

· ·
· CRC Press
E-knjiga
320
Stranica
Ispunjava uslove
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O ovoj e-knjizi

Feeding an expanding population in light of environmental preservation and keeping production lean is a considerable challenge. Sustainable and Precise Agriculture relying on Industry 4.0 (Agri4) points toward creating strategic collaborations, innovations, and alternative approaches to old concerns, and incorporating solutions from other expertise domains. It requires intensive efforts from governments, investors, investigators, and developers. These initiatives address many problems while connecting more agrarians and their communities. Agri4 entails key agribusiness developments, viz. precision agriculture, biotech, IoT, and Big Data, to augment efficiency in dealing with growing population and climate change. Agri4 is likely to yield improvements such as sustainable practices education, environmental residue reduction, seed improvement, and traditional agricultural knowledge usage, among others. It promotes sustainable food production, community development, and scientific literacy by fostering effective natural resource administration.

This book explores the transformative impact of Agriculture 4.0, guiding readers through the integration of digital technologies and sustainable practices into modern farming. It discusses how innovations like AI and the IoT are revolutionizing agriculture, enhancing connectivity, precision, and ecological awareness. The intended readers of the book include agricultural professionals, researchers, tech innovators, policymakers, and students. It caters to those interested in the convergence of modern technology and farming, particularly in advancing sustainable practices and understanding the future of agriculture in the digital age.

O autoru

Anand B. Deshpande is the Principal and Director of the Angadi Institute of Technology and Management, Belagavi, India, with a Ph.D. in Electrical & Electronics Engineering Sciences. He has publications in journals and books, and is the editor of a super-resolution book and a Neuroscience Informatics special issue.

Vania V. Estrela teaches at the Federal Fluminense University, Brazil, with a Ph.D. in ECE from the Illinois Institute of Technology, USA. She has published books and special issues, coordinated multidisciplinary R&D groups, and is an editor of several journals and books.

Asiya Khan has a Ph.D. from the University of Plymouth, United Kingdom, and is now an Associate Professor (Teaching & Learning Head) there. Her interests include AI multimedia prediction and wind turbines' damage recognition. She is a reviewer for several journals.

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