Internet of Things and machine learning in agriculture: technological impacts and challenges
De Gruyter frontiers in computational intelligence ;, v. 8./ edited by Vishal Jain, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore.

Kumar Abhishek; Rathore Pramod Singh; Chatterjee Jyotir Moy; Jain Vishal

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dc.contributor.author	Jain Vishal
dc.contributor.author	Chatterjee Jyotir Moy
dc.contributor.author	Kumar Abhishek
dc.contributor.author	Rathore Pramod Singh
dc.date.accessioned	2024-01-29T22:22:03Z
dc.date.available	2024-01-29T22:22:03Z
dc.date.issued	2021
dc.identifier.citation	Internet of Things and machine learning in agriculture: technological impacts and challenges De Gruyter frontiers in computational intelligence ;, v. 8. - 1 online resource (xvi, 410 pages) : - URL: https://libweb.kpfu.ru/ebsco/pdf/2735191.pdf
dc.identifier.isbn	9783110691276
dc.identifier.isbn	3110691272
dc.identifier.isbn	9783110691283
dc.identifier.isbn	3110691280
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/180608
dc.description	Includes bibliographical references and index.
dc.description.abstract	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.
dc.description.tableofcontents	Part I. 1. 2. 3. 4. 5. Part II. 6. 7. 8. 9. Part III. 10. 11. 12. 13. 14. 15. 16. 17. 18. Index. Parul Verma and Umesh Kumar -- Ashish Tripathi, Arun Kumar Singh, Khararee Narayan Singh, Krishna Kant Singh, Pushpa Choudhary, and Prem Chand Vashist -- Jyoti Batra Arora -- Nilesh Uke, Trupti Thite, and Supriya Saste -- Sivakumar Rajagopal, Sonai Rajan Thangaraj, J. Paul Mansingh, and B. Prabadevi -- Aarti and Amit Kumar -- K. Krishnaveni, E. Radhamani, and K. Preethi -- Jibin Varghese, J. Jeba Praba, and John J. George -- Nikunj Rajyaguru, Shubhendu Vyas, and Kunjan Vyas -- Suvarna Pawar and Pravin Futane -- J. H. Kamdar, M. D. Jasani, J. D. Jasani, J. Jeba Praba, and John J. George -- Sapna Nigam, Rajni Jain, Sudeep Marwaha, and Alka Arora -- Sandip Kumar Roy and Preeta Sharan -- Mahua Bose and Kalyani Mali -- Tan Pham Nhat and Son Vu Truong Dao -- Shubhendu Vyas, Nikunj Rajyaguru, and Kunjan Vyas -- Yash Joshi, Sachit Mishra, and R. S. Ponmagal -- Punam Bedi, Pushkar Gole, and Sumit Kumar Agarwal -- Frontmatter -- Preface -- Acknowledgments -- Contents -- List of contributors -- Machine Learning and Internet of Things in Agriculture -- Smart farming : Using IoT and machine learning techniques / Food security and farming through IoT and machine learning / An innovative combination for new agritechnological era / Recent advancements and challenges of artificial intelligence and IoT in agriculture / Technological impacts and challenges of advanced technologies in agriculture / Applications of Internet of Things in Agriculture -- IoT-based platform for smart farming - Kaa / Internet of things platform for smart farming / Internet of things platform for smart farming / Internet of things platform for smart farming / Applications of Machine Learning in Agriculture -- Kisan-e-Mitra : A tool for soil quality analyzer and recommender system / Artificial intelligence for plant disease detection : Past, present, and future / Wheat rust disease identification using deep learning / Image-based hibiscus plant disease detection using deep learning / Rainfall prediction by applying machine learning technique / Plant leaf disease classification based on feature selection and deep neural network / Using deep learning for image-based plant disease detection / Using deep learning for image-based plant disease detection / Using deep learning for image-based plant disease detection /
dc.language	English
dc.language.iso	en
dc.relation.ispartofseries	De Gruyter frontiers in computational intelligence. volume 8
dc.relation.ispartofseries	De Gruyter frontiers in computational intelligence ;. v. 8.
dc.subject.other	Agriculture -- Data processing.
dc.subject.other	Internet of things.
dc.subject.other	Artificial intelligence -- Agricultural applications.
dc.subject.other	Machine learning.
dc.subject.other	Agriculture -- Informatique.
dc.subject.other	Internet des objets.
dc.subject.other	Intelligence artificielle -- Applications agricoles.
dc.subject.other	Apprentissage automatique.
dc.subject.other	COMPUTERS / Information Technology.
dc.subject.other	Agriculture -- Data processing.
dc.subject.other	Internet of things.
dc.subject.other	Electronic books.
dc.subject.other	Electronic books.
dc.title	Internet of Things and machine learning in agriculture: technological impacts and challenges De Gruyter frontiers in computational intelligence ;, v. 8./ edited by Vishal Jain, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore.
dc.type	Book
dc.description.pages	1 online resource (xvi, 410 pages) :
dc.collection	Электронно-библиотечные системы
dc.source.id	EN05CEBSCO05C1765