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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.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 10 de marzo de 2027 |
| ISBN13 | 9781041274025 |
| Editores | Taylor & Francis Ltd |
| Páginas | 264 |
| Dimensiones | 150 × 220 × 20 mm · 561 g (Peso (estimado)) |
| Editor | Kumar, S.N. |
| Editor | Shaheen, Momina |
| Editor | Shakil, Kashish Ara |
| Editor | Wani, Mudasir Ahmad |
| Editor | Wani, Niyaz Ahmad |
| Editor | Zafar, Sherin |