Proceedings of 3rd International Conference on Artificial Intelligence: Advances and Applications
Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
The proposed framework will help to monitor crop health and crop growth and will provide predictions on crop stress and drought stress. ML-based solutions are currently
addressing crop-specific issues; however, farming methods will move to knowledge-based agriculture as automated data recording, data analysis, and decision-making are
combined into an integrated framework, which will enhance productivity levels and product quality.
Description
Chapter : A Framework for Smart Agriculture System to Monitor the Crop Stress and Drought
Stress Using Sentinel-2 Satellite Image by Tasneem Ahmed , Mohammad Faisal & Halima
Sadia
Keywords
Computer Science and Engineering