A Simple Diagnostic Method for Citrus Greening Disease with Deep Learning

Author:

Dong Ruihao1,Shiraiwa Aya2,Hayashi Takefumi1

Affiliation:

1. Kansai University

2. Tottori University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Reference24 articles.

1. (1) M. M. H. Tipu, et al.: “Identification of citrus greening based on visual symptoms: A grower's diagnostic toolkit”, Heliyon, Vol. 7, No. 11, p.e08387 (2021)

2. (2) H. Q. Cap, et al.: “A Deep Learning Approach for On-Site Plant Leaf Detection”, 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA), pp. 118-122 (2018)

3. (3) M. Sétamou, et al.: “Report on the first detection of Asian citrus psyllid Diaphorina citri Kuwayama (Hemiptera: Liviidae) in the Republic of Benin”, West Africa. Sci Rep, Vol. 13, No. 801 (2023)

4. (4) R. A. Sholihati, et al.: “Potato Leaf Disease Classification Using Deep Learning Approach”, 2020 International Electronics Symposium (IES), Surabaya, Indonesia, pp. 392-397 (2020)

5. (5) K. Sangeetha, et al.: “Apple Leaf Disease Detection Using Deep Learning”, 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), pp. 1063-1067 (2022)

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