IoT and AI in Agriculture
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This book covers smart agricultural space and its further development with an emphasis on ultra-saving labor shortages using AI-based technologies. A transboundary approach, as well as artificial intelligence (AI) and big data for bioinformatics, are required to increase timeliness and supplement the labor shortages, ensure the safety of intangible labor migration system to achieve one of the sustainable development goals (SDG) to secure food security (Society 5.0, SDG 1 and 2). With this in mind, the book focuses on the solution through smart Internet of Things (IoT) and AI-based agriculture,…mehr

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Produktbeschreibung
This book covers smart agricultural space and its further development with an emphasis on ultra-saving labor shortages using AI-based technologies. A transboundary approach, as well as artificial intelligence (AI) and big data for bioinformatics, are required to increase timeliness and supplement the labor shortages, ensure the safety of intangible labor migration system to achieve one of the sustainable development goals (SDG) to secure food security (Society 5.0, SDG 1 and 2). With this in mind, the book focuses on the solution through smart Internet of Things (IoT) and AI-based agriculture, such as automation navigation, insect infestation, and decreasing agricultural inputs such as water and fertilizer, to maintain food security while ensuring environmental sustainability. Readers will gain a solid foundation for developing new knowledge through the in-depth research and education orientation of the book on how the deployment of outdoor and indoor sensors, AI/machine learning (ML), and IoT setups for sensing, tracking, collection, processing, and storing information over cloud platforms is nurturing and driving the pace of smart agriculture outdoor and indoors at this current time. Furthermore, the book introduces the smart system for automation challenges that are important for an unmanned system for considering safety and security points. The book is designed for researchers, graduates, and undergraduate students working in any area of machine learning, deep learning in agricultural engineering, smart agriculture, and environmental science. The greatest care has been made to deliver a diverse range of resource areas, as well as enormous insights into the significance and scope of IoT, AI, and ML in the development of intelligent digital farming and smart agriculture, providing comprehensive information to the intended readers.
Autorenporträt
Tofael Ahamed is an Associate Professor from University of  Tsukuba, Japan, performs research  and supervises graduate students in the field of precision agriculture technology, agricultural robotics decision support systems and agricultural remote sensing. Tofael focuses on enabling smart application using Internet of Things and Artificial Intelligence in agriculture, where crop production varies spatially and temporally within the field boundaries depending on the soil, nutrient, and environmental conditions. He is also serving as one of the Associate Editors for the reputed journals of Computer and Electronics in Agriculture, Agricultural Information Research, Editorial Member for Asia-Pacific Journal of Regional Science. He is a Lead Author and Editor of number books, Guest Editor of Special Issues for Remote Sensing and Regional Application of Remote Sensing. Tofael has published in journals such as Computers and Electronics in Agriculture, BiosystemsEngineering, Transactions of ASABE, Sensors, Remote Sensing, and Journal of Japanese Society of Agricultural Machinery and Food Engineering. Tofael is recognized as one of the best faculty members for 2016 and 2022 at the University of Tsukuba, Japan for his outstanding contributions to research, education, university management and social contributions.