Intelligent detection for sustainable agriculture: A review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection-Reference-Cited by-同舟云学术

Intelligent detection for sustainable agriculture: A review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection

Published:2024-02-06 Issue:28 Volume:83 Page:70961-71000
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Morchid Abdennabi,Marhoun Marouane,El Alami Rachid,Boukili Bensalem^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18392-9.pdf

Reference196 articles.

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2. FAO (2015) Climate change and food security: risks and responses. FAO, Rome, Italy. https://www.fao.org/documents/card/en?details=82129a98-8338-45e5-a2cd-8eda4184550f/

3. Shalaby MY, Al-Zahrani KH, Baig MB et al (2011) Threats and challenges to sustainable agriculture and rural development in egypt: implications for agricultural extension. J Anim Plant Sci 21(3):581–588. https://thejaps.org.pk/docs/21-3/25.pdf

4. Suryanarayanan TS, Shaanker RU (2021) Can fungal endophytes fast-track plant adaptations to climate change? Fungal Ecol 50:101039. https://doi.org/10.1016/j.funeco.2021.101039

5. Power JF, Follett RF (1987) Monoculture. Sci Am 256:78–87

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