Performance Optimization in Agro-Vision by Assessing the Impact of Data Normalization and Standardization on Deep Learning Models-Reference-Cited by-同舟云学术

Performance Optimization in Agro-Vision by Assessing the Impact of Data Normalization and Standardization on Deep Learning Models

Published:2024 Issue: Volume: Page:75-83
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:en
Short-container-title:

Author:

Zarrouk Yassine^ORCID,Bourhaleb Mohammed,Rahmoune Mohammed,Hachami Khalid,Hamdaoui Hajar^ORCID,Al Kaddouri Hanae^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-68675-7_8

Reference21 articles.

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2. Zarrouk, Y., Yandouzi, M., Grari, M., Bourhaleb, M., Rahmoune, M., Hachami, K.: Revolutionizing potato late blight surveillance: UAV-driven object detection innovations. J. Theoretic. Appl. Inform. Technol. 102(7), 2934–2943 (2024)

3. Saeed, Z., Khan, M.U., Raza, A., Sajjad, N., Naz, S., Salal, A.: Identification of leaf diseases in potato crop using deep convolutional neural networks (DCNNs). IEEE International Conference on Emerging Technologies (2021). https://doi.org/10.1109/icet54505.2021.9689807

4. Wasalwar, Y.P., Bagga, K.S., Joshi, V.K., Joshi, A.: Potato leaf disease classification using convolutional neural networks. In: International Conference on Emerging Trends in Engineering and Technology (2023). https://doi.org/10.1109/ICETET-SIP58143.2023.10151591

5. Akther, J., Nayan, A.-A., Harun-Or-Roshid, M.: Potato leaves blight disease recognition and categorization using deep learning. Electron. J. (2023). https://doi.org/10.4186/ej.2023.27.9.27