UID:
almahu_9949244527702882
Format:
1 online resource (408 pages)
ISBN:
0-323-90362-2
Series Statement:
Cognitive data science in sustainable computing
Content:
"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."--
Additional Edition:
ISBN 0-323-85214-9
Language:
English
