A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools
- DOI
- 10.1016/j.atech.2022.100083
- Published
- 2023-02
- Container
- Smart Agricultural Technology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.atech.2022.100083,
title = {A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools},
author = {Aanis Ahmad and Dharmendra Saraswat and Aly El Gamal},
year = {2023},
journal = {Smart Agricultural Technology},
doi = {10.1016/j.atech.2022.100083},
url = {https://doi.org/10.1016/j.atech.2022.100083}
}RIS
TY - JOUR TI - A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools AU - Aanis Ahmad AU - Dharmendra Saraswat AU - Aly El Gamal PY - 2023 JO - Smart Agricultural Technology DO - 10.1016/j.atech.2022.100083 UR - https://doi.org/10.1016/j.atech.2022.100083 ER -
APA
Ahmad, A., Saraswat, D., & Gamal, A. E. (2023). A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools. Smart Agricultural Technology. https://doi.org/10.1016/j.atech.2022.100083
Source records
- crossref · retrieved 2026-09-25T18:03:06.845Z