| Description |
1 online resource (xv, 390 pages) : illustrations |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
Cognitive data science in sustainable computing |
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Cognitive data science in sustainable computing.
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| Bibliography |
Includes bibliographical references and index. |
| Summary |
The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm. |
| Subject |
Sustainable agriculture -- Data processing.
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Artificial intelligence -- Agricultural applications.
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Machine learning.
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Agricultural innovations.
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Agriculture durable -- Informatique.
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Intelligence artificielle -- Applications agricoles.
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Apprentissage automatique.
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Agriculture -- Innovations.
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Agricultural innovations
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Artificial intelligence -- Agricultural applications
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Machine learning
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| Added Author |
Poonia, Ramesh C., 1979- editor.
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Singh, Vijander, editor.
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Nayak, Soumya Ranjan, 1984- editor.
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| Other Form: |
Print version: 9780323903622 |
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Print version: 0323852149 9780323852142 (OCoLC)1258782528 |
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Print version: Deep learning for sustainable agriculture 0323852149 (OCoLC)1258782528 |
| ISBN |
9780323903622 (electronic bk.) |
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0323903622 (electronic bk.) |
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9780323852142 |
| Standard No. |
AU@ 000070477184 |
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AU@ 000074353276 |
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