Deep learning for sustainable agriculture /

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...

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Bibliographic Details

Corporate Author:	ScienceDirect (Online service)
Other Authors:	Poonia, Ramesh C., 1979- (Editor), Singh, Vijander (Editor), Nayak, Soumya Ranjan, 1984- (Editor)
Format:	eBook
Language:	English
Published:	London, United Kingdom : Elsevier Academic Press, [2022]
Series:	Cognitive data science in sustainable computing.
Subjects:	Sustainable agriculture > Data processing. Artificial intelligence > Agricultural applications. Machine learning. Agricultural innovations. Agriculture durable > Informatique. Intelligence artificielle > Applications agricoles. Apprentissage automatique. Agriculture > Innovations. Agricultural innovations Artificial intelligence > Agricultural applications Machine learning Electronic books.
Online Access:	Connect to the full text of this electronic book