Proceedings of 3rd International Conference on Artificial Intelligence: Advances and Applications

Please use this identifier to cite or link to this item: http://192.168.9.248:8080/jspui/handle/123456789/564

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DC Field	Value	Language
dc.contributor.author	Mathur, Garima ed.
dc.contributor.author	Tasneem Ahmed
dc.contributor.author	Mohammad Faisal
dc.contributor.author	Halima Sadia
dc.date.accessioned	2023-09-02T04:46:37Z
dc.date.available	2023-09-02T04:46:37Z
dc.date.issued	2023
dc.identifier.isbn	978-981-19-7040- 5
dc.identifier.uri	https://doi.org/10. 1007/978-981-19- 7041-2
dc.identifier.uri	http://192.168.9.248:8080/jspui/handle/123456789/564
dc.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	en_US
dc.description.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.	en_US
dc.language.iso	en	en_US
dc.publisher	Springer	en_US
dc.relation.ispartofseries	Algorithms for Intelligent Systems;
dc.subject	Computer Science and Engineering	en_US
dc.title	Proceedings of 3rd International Conference on Artificial Intelligence: Advances and Applications	en_US
dc.type	Book chapter	en_US
Appears in Collections:	Books/Book Chapters/Edited Books

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