Automated detection of parasitized Cadra cautella eggs by Trichogramma bourarachae using machine vision

Cadra (Ephestia) cautella (Walker) is a moth that attacks dates from ripening stages while on tree, throughout storage, and until consumption, causing enormous qualitative and quantitative damages, resulting in economic losses. Image-processing algorithms were developed for detecting and differentia...

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Published in:International journal of agricultural and biological engineering Vol. 11; no. 3; pp. 94 - 101
Main Authors: S. El-Faki, Mohammed, Song, Yuqi, Zhang, Naiqian, A. El-Shafie, Hamadttu, Xin, Pan
Format: Journal Article
Language:English
Published: Beijing International Journal of Agricultural and Biological Engineering (IJABE) 01.05.2018
Subjects:
Agriculture
Algorithms
Automation
Biological control
Butterflies & moths
Cadra cautella
Color
Convolution
Damage detection
Economic impact
Eggs
Feature extraction
Filtration
Fruits
Hough transformation
Human error
Image detection
Image processing
Image segmentation
Insecticides
Insects
Light intensity
Luminous intensity
Machine vision
Mass production
Natural enemies
Parasitoids
Pest control
Pests
Plant diseases
Process controls
Ripening
Trichogramma
Vision systems
Saudi Arabia
Austria
Germany
Egypt
ISSN:1934-6344, 1934-6352
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Abstract Cadra (Ephestia) cautella (Walker) is a moth that attacks dates from ripening stages while on tree, throughout storage, and until consumption, causing enormous qualitative and quantitative damages, resulting in economic losses. Image-processing algorithms were developed for detecting and differentiating between three Cadra egg categories based on the success of Trichogramma bourarachae (Pintureau and Babaul) parasitization. These categories were parasitized (black and dark red), unparasitized fertile unhatched (yellow), and unparasitized hatched (white) eggs. Color, light intensity, and shape information was used to develop detection algorithms. Two image processing methods were developed based on three randomly selected images and were tested on a larger validation image set of 40 images: (i) segmentation and extractions of color and morphological features followed by Watershed delineation, and is referred to as Algorithm 1 (ALGO1), (ii) finding circular objects by Hough Transformation followed by convolution filtering, and is referred to as Algorithm 2 (ALGO2). ALGO1 and ALGO2 achieved correct classification rates (CCRs) for parasitized eggs of 92% and 96%, respectively. Their CCRs for unhatched eggs were 48% and 94%, and for hatched eggs were 42% and 73%, respectively. Regarding parasitized eggs, both methods performed satisfactorily, but, in general, ALGO2 outperformed ALGO1. These results ensure automatic evaluation of the efficiency of biological control of Cadra cautella by the egg parasitoid Trichogramma bourarachae by quantifying the rate of parasitization. The developed detection methods can be used by producers of biocontrol agents for online monitoring of Trichogramma and similar insect natural enemies during mass production and before release against crop pests. Moreover, with few adjustments these methods can be used in similar applications such as detecting plant diseases.
AbstractList Cadra (Ephestia) cautella (Walker) is a moth that attacks dates from ripening stages while on tree, throughout storage, and until consumption, causing enormous qualitative and quantitative damages, resulting in economic losses. Image-processing algorithms were developed for detecting and differentiating between three Cadra egg categories based on the success of Trichogramma bourarachae (Pintureau and Babaul) parasitization. These categories were parasitized (black and dark red), unparasitized fertile unhatched (yellow), and unparasitized hatched (white) eggs. Color, light intensity, and shape information was used to develop detection algorithms. Two image processing methods were developed based on three randomly selected images and were tested on a larger validation image set of 40 images: (i) segmentation and extractions of color and morphological features followed by Watershed delineation, and is referred to as Algorithm 1 (ALGO1), (ii) finding circular objects by Hough Transformation followed by convolution filtering, and is referred to as Algorithm 2 (ALGO2). ALGO1 and ALGO2 achieved correct classification rates (CCRs) for parasitized eggs of 92% and 96%, respectively. Their CCRs for unhatched eggs were 48% and 94%, and for hatched eggs were 42% and 73%, respectively. Regarding parasitized eggs, both methods performed satisfactorily, but, in general, ALGO2 outperformed ALGO1. These results ensure automatic evaluation of the efficiency of biological control of Cadra cautella by the egg parasitoid Trichogramma bourarachae by quantifying the rate of parasitization. The developed detection methods can be used by producers of biocontrol agents for online monitoring of Trichogramma and similar insect natural enemies during mass production and before release against crop pests. Moreover, with few adjustments these methods can be used in similar applications such as detecting plant diseases.
Author Xin, Pan
S. El-Faki, Mohammed
Song, Yuqi
A. El-Shafie, Hamadttu
Zhang, Naiqian
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CorporateAuthor 1. Date Palm Research Center of Excellence, King Faisal University, Al-Ahsa, Kingdom of Saudi Arabia
2. Department of Biological and Agricultural Engineering, College of Engineering, Kansas State University, Manhattan, KS 66506, USA
3. College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, Inner Mongolia, China
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Snippet Cadra (Ephestia) cautella (Walker) is a moth that attacks dates from ripening stages while on tree, throughout storage, and until consumption, causing enormous...
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StartPage 94
SubjectTerms Agriculture
Algorithms
Automation
Biological control
Butterflies & moths
Cadra cautella
Color
Convolution
Damage detection
Economic impact
Eggs
Feature extraction
Filtration
Fruits
Hough transformation
Human error
Image detection
Image processing
Image segmentation
Insecticides
Insects
Light intensity
Luminous intensity
Machine vision
Mass production
Natural enemies
Parasitoids
Pest control
Pests
Plant diseases
Process controls
Ripening
Trichogramma
Vision systems
Title Automated detection of parasitized Cadra cautella eggs by Trichogramma bourarachae using machine vision
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