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Volume 87 (2019-2020)
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Keywords = Artificial neural network
Number of Articles: 4
Comparison of optimized artificial neural network performance with imperialist competitive algorithm and shuffled frog leaping algorithm to predict the distribution pattern of Coccinella septempunctata (Col: Coccinellidae ) in alfalfa fields of zarghan
Volume 90, Issue 1 , September 2022, , Pages 41-51
Abstract
Nowadays, many researchers have paid attention to explaining the patterns of insect dispersion using interpolation and density estimation methods in order to investigate the possibility ... Read MoreDDetection of Callosobruchus maculatus F. with image processing and artificial neural network
Volume 88, Issue 1 , September 2020, , Pages 103-112
Abstract
Due to the high speed and accuracy of intelligent pest detection in warehouse products, in this study, the detection of chickpea four-point beetle pest was simulated by image processing ... Read MoreEvaluation of the Ability of LVQ4 Artificial Neural Network Model to Predict the Spatial Distribution Pattern of Sitona humeralis (Col: Curculionidae) in the alfalfa field in Marvdasht
Volume 87, Issue 2 , April 2020, , Pages 173-179
Abstract
In this research, a learning vector quantization neural network (LVQ) model was developed to predict the spatial distribution of Sitona humeralis in Marvdasht. This method was evaluated ... Read MoreEvaluation of the Geostatistical and Artificial Neural Network Methods to estimate the Spatial Distribution of Tetranychus urticae (Acari: Tetranychidae) in Ramhormoz Cucumber fields
Volume 85, No. 1 , September 2017, , Pages 21-30