Early detection and control of anthracnose disease in cashew leaves to improve crop yield using image processing and machine learning techniques-Reference-Cited by-同舟云学术

Early detection and control of anthracnose disease in cashew leaves to improve crop yield using image processing and machine learning techniques

Published:2023-05-23 Issue:7 Volume:17 Page:3323-3330
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Sudha P.,Kumaran P.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s11760-023-02552-9.pdf

Reference19 articles.

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3. Wonni, I., Sereme, D., Ouédraogo, I., Kassankagno, A., Dao, I., Ouedraogo, L., Nacro, S.: Diseases of cashew nut plants (Anacardium Occidentale L.) in Burkina Faso. Adv. Plants Agric. Res. 6(3), 78–83 (2017)

4. Kartikeyan, P., Shrivastava, G.: Review on emerging trends in detection of plant diseases using image processing with machine learning. Int. J. Comput. Appl. 975, 8887 (2021)

5. Singh, V.: Sunflower leaf diseases detection using image segmentation based on particle swarm optimization. Artif. Intell. Agric. 3, 62–68 (2019)

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