4 results for “monitoring insects”

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Research ArticleOpen accessIn the keywordsIdentification of Pecan Weevils through Image ProcessingS.M. Al-Saqer, P. Weckler, J. Solie et al.Abstract: Problem Statement: Pecan weevil is one of the most destructive pests of Oklahoma. The scope of this study is to develop a recognition system that can serve in a wireless imaging network for monitoring pecan weevils. Approach: The recognition methods used in this study are based on template matching. Five recognition methods were implemented: Normalized cross-correlation, Fourier descriptors, Zernike … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 1 · 15 Dec 2010 · 8,775 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Robust Recognition System for Pecan Weevil using Artificial Neural NetworksSaleh Mufleh Al-SaqerProblem statement: Pecan Weevil is a widely found pest among pecan trees and these pests are known to cause significant damage to the pecan trees resulting in enormous annual losses to pecan growers. Traditional identification techniques for pecan weevil include traps with pheromones to detect the infestation of these pests. However, these traditional methods require expensive labor hours to set-up … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 14 Jul 2012 · 6,831 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPecan Weevil Recognition Using Support Vector Machine MethodGhulam Mubashar Hassan, Saleh Mufleh Al-SaqerProblem statement: The Pecan weevil was considered as the most dangerous pest of Pecan fruits. The aim of this research is to evaluate Support Vector Machine method (SVM) for identifying Pecan Weevil among other insects. Eventually, this recognition system will serve in a wireless imaging network for monitoring Pecan Weevils. Approach: SVM has been evaluated using two different kernel functions … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 4 · 24 Dec 2011 · 7,926 accessesView PDF Cite

InvestigationOpen accessAll words, across the recordForest Pathology Pattern of Forest Stands of the Green Belt of AstanaZhanarbek Bolat, Nurzhan Serikkanuly Mukhamadiyev, Nursagim Zhamaubayevich Ashikbaev et al.The article presents the results of researches on an estimation of a forest pathology pattern of the Astana green belt stands. For the first time, a complex of insect pests and entomophages is being specified in the Astana green belt stands. The biological effectiveness of biopreparations and insecticides against harmful insects in the system of protective measures and the forest … …OnLine Journal of Biological Sciences, Vol. 18, Issue 2 · 18 Jan 2018 · 7,520 accessesView PDF Cite