Deep Learning for Terrestrial Ecosystem Sustainability

Contributor(s): Zafar, Sherin (Editor), Kumar, S N (Editor), Wani, Niyaz Ahmad (Editor), Shakil, Kashish Ara (Editor), Shaheen, Momina (Editor), Wani, Mudasir Ahmad (Editor)

ISBN: 9781041274025

Publisher: CRC Press

Hardcover

$140.99

Pub Date: March 10, 2027

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 0.00" H x 0.00" L x 0.00" W ( 0.00 lbs) 264 pages

BISAC Categories:

Series: Computational Intelligence in Sustainable Agriculture

Descriptions, Reviews, etc.

Description:

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.