Peanut leaf disease identification with deep learning algorithms-Reference-Cited by-同舟云学术

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Peanut leaf disease identification with deep learning algorithms

Published:2023-03-27 Issue:4 Volume:43 Page:
ISSN:1380-3743
Container-title:Molecular Breeding
language:en
Short-container-title:Mol Breeding

Author:

Xu Laixiang,Cao Bingxu,Ning Shiyuan,Zhang Wenbo,Zhao Fengjie

Funder

Natural Science Foundation of Henan Province

Henan Provincial Science and Technology Research Project

Key Technologies Research and Development Program

Natural Science Foundation of Hainan Province

Hainan University

Aeronautical Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Genetics,Agronomy and Crop Science,Molecular Biology,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s11032-023-01370-8.pdf

Reference28 articles.

1. Ali S, Hassan M, Kim J, Farid M (2022) FF-PCA-LDA: intelligent feature fusion based PCA-LDA classification system for plant leaf diseases. Appl Sci-Basel 12(7). https://doi.org/10.3390/app12073514

2. Anari M (2022) A hybrid model for leaf diseases classification based on the modified deep transfer learning and ensemble approach for agricultural AIoT-based monitoring. Comput Intell Neurosci. https://doi.org/10.1155/2022/6504616

3. Astani M, Hasheminejad M, Vaghefi M (2022) A diverse ensemble classifier for tomato disease recognition. Comput Electron Agric 198. https://doi.org/10.1016/j.compag.2022.107054.s

4. Bi K, Zhang D, Qiu T (2020) GC-MS fingerprints profiling using machine learning models for food flavor prediction. Processes 8(1). https://doi.org/10.3390/pr8010023

5. Chakraborty SK, Chandel NS, Jat D, Tiwari MK, Rajwade YA, Subeesh A (2022) Deep learning approaches and interventions for futuristic engineering in agriculture. Neural Comput Appl 34(23). https://doi.org/10.1007/s00521-022-07744-x

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