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Deep Learning for Terrestrial Ecosystem Sustainability - Computational Intelligence in Sustainable Agriculture
Deep Learning for Terrestrial Ecosystem Sustainability - Computational Intelligence in Sustainable Agriculture
This book discusses how artificial intelligence can help monitor, understand, and protect terrestrial ecosystems. It presents applications of CNNs, RNNs, GANs, Vision Transformers, and Graph Neural Networks in vegetation classification, forest health, climate forecasting, deforestation detection, and biodiversity tracking.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| To be released | March 10, 2027 |
| ISBN13 | 9781041274025 |
| Publishers | Taylor & Francis Ltd |
| Pages | 264 |
| Dimensions | 150 × 220 × 20 mm · 561 g (Weight (estimated)) |
| Editor | Kumar, S.N. |
| Editor | Shaheen, Momina |
| Editor | Shakil, Kashish Ara |
| Editor | Wani, Mudasir Ahmad |
| Editor | Wani, Niyaz Ahmad |
| Editor | Zafar, Sherin |