Internet of Things and machine learning in agriculture technological impacts and challenges edited by Vishal Jain, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore.
Material type:
TextSeries: De Gruyter frontiers in computational intelligence ; v. 8.Publisher: Berlin ; Boston Walter de Gruyter GmbH, 2021Description: 1 online resource (xvi, 410 pages) illustrationsISBN: 9783110691276; 3110691272; 9783110691283; 3110691280Subject(s): Agriculture -- Data processing | Internet of things | Artificial intelligence -- Agricultural applications | Machine learning | Agriculture -- Informatique | Internet des objets | Intelligence artificielle -- Applications agricoles | Apprentissage automatique | COMPUTERS / Information Technology | Agriculture -- Data processing | Internet of things | Electronic booksGenre/Form: EBSCO eBooks | Electronic books. DDC classification: 338.102854678 LOC classification: S494.5.D3 | I58 2021Online resources: EBSCOhost Summary: 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.
Includes bibliographical references and index.
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.
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