Development of an automated multidirectional pest sampling detection system using motorized sticky traps

Insect detection and counting constitute a considerable challenge in the field of agriculture. However, among various biotic issues of agricultural production, pest infestation is a major challenge, with the humid environment surrounding the crops encouraging the survival and proliferation of pests....

Full description

Saved in:
Bibliographic Details
Main Authors: Hadi, Mustafa Kareem, Mohd Kassim, Muhamad Saufi, Wayayok, Aimrun
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers 2021
Online Access:http://psasir.upm.edu.my/id/eprint/96689/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/96689/
https://ieeexplore.ieee.org/document/9406796
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.96689
record_format eprints
spelling my.upm.eprints.966892022-12-14T13:14:55Z http://psasir.upm.edu.my/id/eprint/96689/ Development of an automated multidirectional pest sampling detection system using motorized sticky traps Hadi, Mustafa Kareem Mohd Kassim, Muhamad Saufi Wayayok, Aimrun Insect detection and counting constitute a considerable challenge in the field of agriculture. However, among various biotic issues of agricultural production, pest infestation is a major challenge, with the humid environment surrounding the crops encouraging the survival and proliferation of pests. In addition, electronic traps need protection, especially from rain. This study describes the design and development of a prototype for an automatic pest sampling and detection system for agricultural crops. To the best of our knowledge, the proposed system is the first motorized automatic trap developed to handle monitoring operations in two directions of precise movement (i.e., clockwise and counterclockwise) and cover four directions of insect sampling that provides additional details of insect infestation direction. A square-shaped sticky box was designed, and an optical sensor was attached to a scalable arm. The movements of the sticky box and the camera arm were generated by motors. Preprocessing was conducted by using morphological operations, whereas insect detection and counting were implemented by an algorithm of connected components labeling that applied by using MATLAB image processing toolbox. Different kernel functions, such as disk, diamond, square, and sphere, were used as matching functions for the insect detection and counting algorithm. The average accuracy of the highest sphere kernel was 85.2%. Test results of the hardware show the reliability, flexibility, and system protection of the automatic system to provide accurate movements in two degrees of freedom. Institute of Electrical and Electronics Engineers 2021 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/96689/1/ABSTRACT.pdf Hadi, Mustafa Kareem and Mohd Kassim, Muhamad Saufi and Wayayok, Aimrun (2021) Development of an automated multidirectional pest sampling detection system using motorized sticky traps. IEEE Access, 9. 67391 - 67404. ISSN 2169-3536 https://ieeexplore.ieee.org/document/9406796 10.1109/ACCESS.2021.3074083
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Insect detection and counting constitute a considerable challenge in the field of agriculture. However, among various biotic issues of agricultural production, pest infestation is a major challenge, with the humid environment surrounding the crops encouraging the survival and proliferation of pests. In addition, electronic traps need protection, especially from rain. This study describes the design and development of a prototype for an automatic pest sampling and detection system for agricultural crops. To the best of our knowledge, the proposed system is the first motorized automatic trap developed to handle monitoring operations in two directions of precise movement (i.e., clockwise and counterclockwise) and cover four directions of insect sampling that provides additional details of insect infestation direction. A square-shaped sticky box was designed, and an optical sensor was attached to a scalable arm. The movements of the sticky box and the camera arm were generated by motors. Preprocessing was conducted by using morphological operations, whereas insect detection and counting were implemented by an algorithm of connected components labeling that applied by using MATLAB image processing toolbox. Different kernel functions, such as disk, diamond, square, and sphere, were used as matching functions for the insect detection and counting algorithm. The average accuracy of the highest sphere kernel was 85.2%. Test results of the hardware show the reliability, flexibility, and system protection of the automatic system to provide accurate movements in two degrees of freedom.
format Article
author Hadi, Mustafa Kareem
Mohd Kassim, Muhamad Saufi
Wayayok, Aimrun
spellingShingle Hadi, Mustafa Kareem
Mohd Kassim, Muhamad Saufi
Wayayok, Aimrun
Development of an automated multidirectional pest sampling detection system using motorized sticky traps
author_facet Hadi, Mustafa Kareem
Mohd Kassim, Muhamad Saufi
Wayayok, Aimrun
author_sort Hadi, Mustafa Kareem
title Development of an automated multidirectional pest sampling detection system using motorized sticky traps
title_short Development of an automated multidirectional pest sampling detection system using motorized sticky traps
title_full Development of an automated multidirectional pest sampling detection system using motorized sticky traps
title_fullStr Development of an automated multidirectional pest sampling detection system using motorized sticky traps
title_full_unstemmed Development of an automated multidirectional pest sampling detection system using motorized sticky traps
title_sort development of an automated multidirectional pest sampling detection system using motorized sticky traps
publisher Institute of Electrical and Electronics Engineers
publishDate 2021
url http://psasir.upm.edu.my/id/eprint/96689/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/96689/
https://ieeexplore.ieee.org/document/9406796
_version_ 1753789936251699200
score 13.211834