Monitoring and control system for the detection of crop health in agricultural application through an ensemble based deep learning strategy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17695-7.pdf
Reference32 articles.
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2. Razfar N, True J, Bassiouny R, Venkatesh V, Kashef R (2022) Weed detection in soybean crops using custom lightweight deep learning models. J Agric Food Res 8:100308
3. Karthick S, Muthukumaran N (2023) Deep regression network for single-image super-resolution based on down-and upsampling with RCA blocks. Natl Acad Sci Lett 1–5. https://doi.org/10.1007/s40009-023-01353-5
4. Katta S, Ramatenki S, Sammeta H (2022) Chapter 8 - Smart irrigation and crop security in agriculture using IoT. In: AI, Edge and IoT-based smart agriculture: Intelligent data-centric systems, pp 143–155. https://doi.org/10.1016/B978-0-12-823694-9.00019-0
5. Ahmad F, Hariharan U, Karthick S, Pawar VE, Sharon Priya S (2023) Optimized lung nodule prediction model for lung cancer using contour features extraction. Opt Mem Neural Netw 32(2):126–136
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