Can I read Deep Learning for Sustainable Agriculture (Cognitive Data Science in Sustainable Computing) on EtoBox?

Deep Learning for Sustainable Agriculture (Cognitive Data Science in Sustainable Computing) by Ramesh Chandra Poonia, Vijander Singh, Soumya Ranjan Nayak, Ramesh Poonia is a nonfiction available to read on EtoBox.

What is Deep Learning for Sustainable Agriculture (Cognitive Data Science in Sustainable Computing) about?

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. Introduces new deep learning models developed to address sustainable solutions for issues related to agriculture Provides reviews on the latest intelligent t

Who reads Deep Learning for Sustainable Agriculture (Cognitive Data Science in Sustainable Computing)?

Author

Ramesh Chandra Poonia, Vijander Singh, Soumya Ranjan Nayak, Ramesh Poonia

Publisher

Academic Press, an imprint of Elsevier

Published

2022

Language

EN

ISBN

9780323852142

Category

nonfiction

Subjects

Agriculture, Computer Science, Economics