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...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; Boston
Walter de Gruyter GmbH,
2021.
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| Series: | De Gruyter frontiers in computational intelligence ;
v. 8. |
| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
| 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. |
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| Physical Description: | 1 online resource (xvi, 410 pages) illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9783110691276 3110691272 9783110691283 3110691280 |