Intelligent Designs, Innovations and Sustainability in Agriculture 4.0

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.

Anand B. Deshpande is the Principal and Director of the SAEF’s Angadi Institute of Technology and Management (AITM), Belagavi, Karnataka, India. He holds a Ph.D. in Electrical and Electronics Engineering Sciences, M.Tech. in Digital Communication and Networking from Visvesvaraya Technological University, Belagavi, and a B.E.in Electronics & Communication Engineering from Karnatak University, Dharwad, India. He has multiple patents and published research in international journals, conferences, books, and journal reviews. He edited a super-resolution book and a Neuroscience Informatics Special Issue and expert in AI, image/video analytics, data analytics, and machine vision.

Vania V. Estrela, M.Sc. from Aeronautics Institute of Technology, Brazil and Northwestern University, USA. Ph.D. in ECE from Illinois Institute of Technology, USA. She has teaching experience at DePaul University, Darcy Ribeiro North Fluminense State University (UENF), Centro Universitrio Estadual da Zona Oeste (UEZO), and Polytechnic Institute of the State University of Rio de Janeiro (IPRJ/UERJ). Federal Fluminense University’s Faculty, Brazil. Her interests include digital signal processing, system modeling, stochastics, multimedia, inclusion, healthcare, AI/sentience, cyber-physical systems, humanitarian engineering, electronic instrumentation, STEAM, environmentalism, and remote sensing. She has published several books and special issues, coordinated multidisciplinary R&D groups, and organized conferences. She is an editor of several journals, and a member of IEEE and ACM.

Asiya Khan has a Ph.D. from University of Plymouth and is now an Associate Professor (Teaching & Learning Head) there. She has a B.Eng. from University of Glasgow, a M.Sc. from Strathclyde University Communications, Control & DSP. She is a Chartered Engineer/Higher Education Academy senior fellow. She is a former EDI Lead. She earned the 2018 Bronze Athena SWAN award. She is the Vulnerable students’ RAEng Diversity Impact Programme’s leader. She has several EU ERDF projects (two with the British Council). Her interests include AI multimedia prediction/control, female engineering under representation crop, monitoring, and wind turbines’ damage recognition. She is a reviewer for several journals. She is a member of IEEE/IET.