Application of Machine Learning in Agriculture
Language: English
Published by Elsevier Inc Mai 2022, 2022
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Seller Inventory # 9780323905503
- Title
- Application of Machine Learning in Agriculture
- Author
- Rijwan Khan
- Publisher
- Elsevier Inc Mai 2022
- Publication year
- 2022
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0323905501
- ISBN 13
- 9780323905503
- Item weight
- 732 grams
- Dimensions
- 236x193x20 mm
Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning.
As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development.
This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics.
- Addresses the technology of smart agriculture from a technical perspective
- Reveals opportunities for technology to improve and enhance not only yield and quality, but the economic value of a food crop
- Discusses physical instruments, simulations, sensors, and markets for machine learning in agriculture
"Synopsis" may belong to another edition of this title.
About the Author
Rijwan Khan is Professor and Head of Department of Computer Science at the ABES Institute of Technology in Uttar Pradesh, India.
Scientist Professor, Department of Agriculture Communication, College of Agriculture, G B Pant University of Agriculture and Technology, Pantnagar (Uttarakhand). Post-doctoral studies at University of Leicester (UK). Received Senior Research Fellowship during doctoral studies and UNDP/ICAR scholarship during post-graduation at Pantnagar University. He is chairman of the editorial board of Indian Journal of Science Communication and has nearly 25 years’ experience in different capacities in corporate, governmental, NGO and Academic institutions. He has worked in that time has included focuse on the use of technologies in agricultural settings, including the use of mobile phones, e-learning, and internet use. His research interests include ICT applications in agriculture and rural development, Development Communication, Training, Health Communication and Science Communication.
"About the title" may belong to another edition of this title.
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