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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Poonia, Ramesh C., 1979- (Editor ), Singh, Vijander (Editor ), Nayak, Soumya Ranjan, 1984- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, United Kingdom : Elsevier Academic Press, [2022]
Colección:Cognitive data science in sustainable computing.
Temas:
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
Acceso en línea:Texto completo

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