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Internet of Things for Agriculture 4.0 -

Internet of Things for Agriculture 4.0

Impact and Challenges
Buch | Softcover
278 Seiten
2024
Apple Academic Press Inc. (Verlag)
978-1-77463-921-4 (ISBN)
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This book provides an insightful look at the varied and exciting uses and applications of Wi-Fi and the Internet of Things in agriculture. The volume will be useful for those involved in agricultural operations as well as scientists and researchers, and faculty and students in agriculture and computer and information science engineering.
This new book provides an insightful look at the varied and exciting uses and applications of Wi-Fi and the Internet of Things in agriculture. With internet-enabled communications becoming more widely available, farms and agricultural establishments can take advantage of these new technologies for a wide range of farm operations, such as crop management, farm vehicle tracking, livestock monitoring, storage monitoring, and more.

The collected data from these devices can be stored in the cloud system or server and accessed by the farmers via the internet or mobile phones. This book shows the many benefits to farmers from applying IoT, including better utilizing information for monitoring crops, optimizing water use, planning effective fertilization strategies, and saving time and reducing the operation expenses.

Topics include using IoT for vertical farming, IoT-based smart irrigation system, landslide susceptibility assessment, automated aeroponics systems, crop survival analysis, and more. The volume also considers the challenges of IoT in agriculture, such as the requirements of applications of wireless sensor networks, the threat of attacks and the detection of vulnerabilities in wireless sensor networks, and more.

Internet of Things for Agriculture 4.0: Impact and Challenges provides a better understanding of the time- and resourcing-saving benefits of wireless sensors and remote monitoring devices in agriculture. The volume will be useful for those involved in agricultural operations as well as scientists and researchers, and faculty and students in agriculture and computer and information science engineering.

Rajesh Singh, PhD, is associated with Lovely Professional University as Professor with more than 16 years of experience. He has been honored as a keynote speaker and session chair at international and national conferences, faculty development programs, and workshops. He holds over 150 patents and has published more than 100 research papers in refereed journals and conferences and over 24 books on embedded systems and the Internet of Things. Amit Kumar Thakur, PhD, is Associate Professor at Lovely Professional University. He has over 17 years of experience in academics and research. He has organized and conducted workshops, summer internships, and expert lectures for students and faculty. He has published over 24 research papers in refereed journals and conferences and has edited several books. He also holds several patents. Anita Gehlot, PhD, is associated with Lovely Professional University as Associate Professor with more than 12 years of experience in academics. She has been a keynote speaker and session chair at several international and national conferences, faculty development programs, and workshops. She has over 132 patents in her account and has published more than 70 research papers in refereed journals and conferences and over 24 books on embedded systems and the Internet of Things. Ajay Kumar Kaviti, PhD, is Associate Professor in the Department of Mechanical Engineering at VNR Vignana Jyothi Institute of Engineering & Technology, Hyderabad, India. He has more than 16 years of experience in teaching and research. He has multidisciplinary research interests in the areas of renewable energy, alternative fuels, and composites. He has over 40 publications to his credit in highly reputed international journals along with 20 publications in proceedings of national and international conferences.

1. Vertical Farming Trends and Challenges: A New Age of Agriculture Using IoT and Machine Learning 2. Applications of IoT in Agriculture 3. IoT-Based Smart Irrigation Systems for Smart Agriculture 4. Attacks and Vulnerabilities Detection in Wireless Sensor Networks 5. Agricultural Science with Iot 6. Landslide Susceptibility Assessment Using a Low-Cost Wireless Sensor Network for Agricultural Land in Hilly Areas 7. Crop Survival Analysis Using IoT and Machine Learning 8. Bluetooth Robotics 9. Automated Aeroponics System Using IoT for Smart Agriculture 10. Requirements of Applications of Wireless Sensor Networks for the Internet of Things 11. Internet of Things Enabled Wireless Sensor Network

Erscheinungsdatum
Zusatzinfo 13 Tables, black and white; 7 Line drawings, color; 72 Line drawings, black and white; 5 Halftones, color; 53 Halftones, black and white; 12 Illustrations, color; 125 Illustrations, black and white
Verlagsort Oakville
Sprache englisch
Maße 152 x 229 mm
Gewicht 550 g
Themenwelt Technik
Weitere Fachgebiete Land- / Forstwirtschaft / Fischerei
ISBN-10 1-77463-921-1 / 1774639211
ISBN-13 978-1-77463-921-4 / 9781774639214
Zustand Neuware
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