Internet of Things and Machine Learning in Agriculture: Technological Impacts and Challenges - Rilegato
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
Jyotir Moy Chatterjee, LBEF, Nepal; Abhishek Kumar, CUIET, India; P. S. Rathore, ACERC, India; Vishal Jain, Sharda University, India
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Internet of Things and Machine Learning in Agriculture
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Hardcover. Condizione: New. Jyotir Moy Chatterjee, LBEF, Nepal Abhishek Kumar, CUIET, India P. S. Rathore, ACERC, India Vishal Jain, Sharda University, India Agriculture is one of the most fundamental. Codice articolo 417776007
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Internet of Things and Machine Learning in Agriculture : Technological Impacts and Challenges
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Gruyter, Walter de GmbH, 2021
ISBN 10: 3110691221
ISBN 13: 9783110691221
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Buch. Condizione: Neu. Neuware - 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. Codice articolo 9783110691221
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Hardback. Condizione: New. 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. Codice articolo LU-9783110691221
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Buch. Condizione: Neu. Internet of Things and Machine Learning in Agriculture | Technological Impacts and Challenges | Jyotir Moy Chatterjee (u. a.) | Buch | XVI | Englisch | 2021 | De Gruyter | EAN 9783110691221 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu. Codice articolo 118967774
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Hardback. Condizione: New. 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. Codice articolo LU-9783110691221
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