Internet of Things and machine learning in agriculture technological impacts and challenges

Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates...

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Библиографическая информация
Другие авторы: Jain, Vishal, 1983-, Chatterjee, Jyotir Moy, Kumar, Abhishek, Rathore, Pramod Singh, 1988-
Формат: Электронная книга
Язык:English
Публикация: Berlin ; Boston Walter de Gruyter GmbH, 2021.
Серии:De Gruyter frontiers in computational intelligence ; v. 8.
Предметы:
Online-ссылка:EBSCOhost
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040 |a EBLCP  |b eng  |e rda  |c EBLCP  |d N$T  |d EBLCP  |d OCLCO  |d OCLCA  |d OCLCF  |d AUD  |d YDX  |d S2H  |d UKAHL  |d CUV  |d OCLCO  |d SFB 
020 |a 9783110691276  |q (electronic bk. ;  |q PDF) 
020 |a 3110691272  |q (electronic bk. ;  |q PDF) 
020 |a 9783110691283  |q (electronic bk. ;  |q epub) 
020 |a 3110691280  |q (electronic bk. ;  |q epub) 
020 |z 9783110691221  |q hardcover 
020 |z 3110691221  |q hardcover 
050 4 |a S494.5.D3  |b I58 2021 
082 0 4 |a 338.102854678 
049 |a MAIN 
245 0 0 |a Internet of Things and machine learning in agriculture  |b technological impacts and challenges  |c edited by Vishal Jain, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore. 
264 1 |a Berlin ;  |a Boston  |b Walter de Gruyter GmbH,  |c 2021. 
300 |a 1 online resource (xvi, 410 pages)  |b illustrations. 
490 1 |a De Gruyter frontiers in computational intelligence ;  |v volume 8 
504 |a Includes bibliographical references and index. 
505 0 0 |t Frontmatter --  |t Preface --  |t Acknowledgments --  |t Contents --  |t List of contributors --  |g Part I.  |t Machine Learning and Internet of Things in Agriculture --  |g 1.  |t Smart farming : Using IoT and machine learning techniques /  |r Parul Verma and Umesh Kumar --  |g 2.  |t Food security and farming through IoT and machine learning /  |r Ashish Tripathi, Arun Kumar Singh, Khararee Narayan Singh, Krishna Kant Singh, Pushpa Choudhary, and Prem Chand Vashist --  |g 3.  |t An innovative combination for new agritechnological era /  |r Jyoti Batra Arora --  |g 4.  |t Recent advancements and challenges of artificial intelligence and IoT in agriculture /  |r Nilesh Uke, Trupti Thite, and Supriya Saste --  |g 5.  |t Technological impacts and challenges of advanced technologies in agriculture /  |r Sivakumar Rajagopal, Sonai Rajan Thangaraj, J. Paul Mansingh, and B. Prabadevi --  |g Part II.  |t Applications of Internet of Things in Agriculture --  |g 6.  |t IoT-based platform for smart farming - Kaa /  |r Aarti and Amit Kumar --  |g 7.  |t Internet of things platform for smart farming /  |r K. Krishnaveni, E. Radhamani, and K. Preethi --  |g 8.  |t Internet of things platform for smart farming /  |r Jibin Varghese, J. Jeba Praba, and John J. George --  |g 9.  |t Internet of things platform for smart farming /  |r Nikunj Rajyaguru, Shubhendu Vyas, and Kunjan Vyas --  |g Part III.  |t Applications of Machine Learning in Agriculture --  |g 10.  |t Kisan-e-Mitra : A tool for soil quality analyzer and recommender system /  |r Suvarna Pawar and Pravin Futane --  |g 11.  |t Artificial intelligence for plant disease detection : Past, present, and future /  |r J. H. Kamdar, M. D. Jasani, J. D. Jasani, J. Jeba Praba, and John J. George --  |g 12.  |t Wheat rust disease identification using deep learning /  |r Sapna Nigam, Rajni Jain, Sudeep Marwaha, and Alka Arora --  |g 13.  |t Image-based hibiscus plant disease detection using deep learning /  |r Sandip Kumar Roy and Preeta Sharan --  |g 14.  |t Rainfall prediction by applying machine learning technique /  |r Mahua Bose and Kalyani Mali --  |g 15.  |t Plant leaf disease classification based on feature selection and deep neural network /  |r Tan Pham Nhat and Son Vu Truong Dao --  |g 16.  |t Using deep learning for image-based plant disease detection /  |r Shubhendu Vyas, Nikunj Rajyaguru, and Kunjan Vyas --  |g 17.  |t Using deep learning for image-based plant disease detection /  |r Yash Joshi, Sachit Mishra, and R. S. Ponmagal --  |g 18.  |t Using deep learning for image-based plant disease detection /  |r Punam Bedi, Pushkar Gole, and Sumit Kumar Agarwal --  |g Index. 
520 |a Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. 'Machine Learning and the Internet of Things' can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world. 
588 0 |a Print version of record. 
653 0 |a Agriculture  |x Data processing. 
653 0 |a Internet of things. 
653 0 |a Artificial intelligence  |x Agricultural applications. 
653 0 |a Machine learning. 
653 6 |a Agriculture  |x Informatique. 
653 6 |a Internet des objets. 
653 6 |a Intelligence artificielle  |x Applications agricoles. 
653 6 |a Apprentissage automatique. 
653 7 |a COMPUTERS / Information Technology.  |2 bisacsh 
653 7 |a Agriculture  |x Data processing.  |2 fast  |0 (OCoLC)fst00801402 
653 7 |a Internet of things.  |2 fast  |0 (OCoLC)fst01894151 
653 0 |a Electronic books. 
655 0 |a EBSCO eBooks  |9 905790 
655 4 |a Electronic books.  |9 899821 
700 1 |a Jain, Vishal,  |d 1983-  |9 911812 
700 1 |a Chatterjee, Jyotir Moy,  |9 911813 
700 1 |a Kumar, Abhishek,  |9 911814 
700 1 |a Rathore, Pramod Singh,  |d 1988-  |9 911815 
830 0 |a De Gruyter frontiers in computational intelligence ;  |v v. 8.  |9 911816 
856 4 0 |3 EBSCOhost  |u https://www.lib.tsu.ru/limit/2023/EBSCO/2735191.pdf 
856 |y Перейти в каталог НБ ТГУ  |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1013528 
910 |a EBSCO eBooks 
999 |c 1013528  |d 1013528 
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