Please use this identifier to cite or link to this item:
http://192.168.9.248:8080/jspui/handle/123456789/564| Title: | Proceedings of 3rd International Conference on Artificial Intelligence: Advances and Applications |
| Authors: | Mathur, Garima ed. Tasneem Ahmed Mohammad Faisal Halima Sadia |
| Keywords: | Computer Science and Engineering |
| Issue Date: | 2023 |
| Publisher: | Springer |
| Series/Report no.: | Algorithms for Intelligent Systems; |
| 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 |
| URI: | https://doi.org/10. 1007/978-981-19- 7041-2 http://192.168.9.248:8080/jspui/handle/123456789/564 |
| ISBN: | 978-981-19-7040- 5 |
| Appears in Collections: | Books/Book Chapters/Edited Books |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Halima Sadia_A Framework for Smart Agriculture System to Monitor the Crop Stress and Drought Stress Using Sentinel-2 Satellite Image In Algorithm for Intelligent System.pdf | Book Chapter | 706.21 kB | Adobe PDF | View/Open |
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