A DEVELOPMENT OF NEURAL NETWORK MODEL FOR RECOGNIZING RED PALM WEEVIL INSECTS BASED ON IMAGE PROCESSING-Reference-Cited by-同舟云学术

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A DEVELOPMENT OF NEURAL NETWORK MODEL FOR RECOGNIZING RED PALM WEEVIL INSECTS BASED ON IMAGE PROCESSING

Published:2021-07-07 Issue: Volume: Page:
ISSN:2667-484X
Container-title:Kocaeli Journal of Science and Engineering
language:
Short-container-title:

Author:

SALEH Radhwan Alı Abdulghanı,ERTUNÇ Hüseyin Metin

Publisher

Kocaeli Journal of Science and Engineering

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference7 articles.

1. 1. Ahmed, H., 2020 .Red Palm Weevil Detection Methods: A Survey. Journal of Cybersecurity and Information Management (JCIM) Vol, 1(1): p. 17-20.

2. 2. Al-Saqer, S.M., 2012. A reliable identification system for red palm weevil. American Journal of Applied Sciences, 9(8): p. 1150.

3. 3. Hassan, G.M. and S.M., 2012. Al-Saqer, Support vector machine based red palm weevil (Rynchophorus ferrugineous, Olivier) recognition system. American Journal of Agricultural and Biological Sciences, 7(1): p. 36-42.

4. 4. Haralick, R.M. and L.G., 1992. Shapiro, Computer and robot vision. Vol. 1.: Addison-wesley Reading.

5. 5. Otsu, N., 1979. A threshold selection method from gray-level histograms. IEEE transactions on systems, man, and cybernetics, 9(1): p. 62-66.

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4. Automated Red Palm Weevil Detection Using Gorilla Troops Optimizer With Deep Learning Model;IEEE Access;2023

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