<p><strong>Evaluation of geostatistical method and hybrid artificial neural network with imperialist competitive algorithm for predicting distribution pattern of <em>Tetranychus</em> <em>urticae</em> (Acari: Tetranychidae) in cucumber field of Behbahan, Iran</strong></p>

<p><strong>Evaluation of geostatistical method and hybrid artificial neural network with imperialist competitive algorithm for predicting distribution pattern of <em>Tetranychus</em> <em>urticae</em> (Acari: Tetranychidae) in cucumber field of Behbahan, Iran</strong></p>

In this study, the statistical methods and artificial neural network (ANN) were used to estimate the spatial distribution of Tetranychus urticae in cucumber field of Behbahan, Iran. Pest density assessments were performed following a 10 × 10 m2 grid pattern on the field and a total of 100 sampling...

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Bibliographic Details
Main Authors: Alireza Shabaninejad, Bahram Tafaghodinia, Nooshin Zandi-Sohani
Format: Article
Language:English
Published: Acarological Society of Iran 2017-10-01
Series:Persian Journal of Acarology
Subjects:
Algorithm
kriging
pest dispersion
statistical methods
variogram
Online Access:https://www.biotaxa.org/pja/article/view/30295
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