In collaboration with Iranian Phytopathological Society
Volume 91 (2022-2023)
Volume 90 (2021-2022)
Volume 89 (2020-2021)
Volume 88 (2019-2020)
Volume 87 (2019-2020)
Volume 86 (2018-2019)
Volume 85 (2017-2018)
Volume 84 (2016-2017)
Volume 83 (2015-2016)
Volume 82 (2014-2015)
Volume 81 (2013-2014)
Volume 80 (2012-2013)
Volume 79 (2011-2012)
Volume 78 (2010-2011)
Volume 77 (2009-2010)
Volume 76 (2008-2009)
Volume 75 (2007-2008)
Volume 74 (2006-2007)
Volume 73 (2005-2006)
Volume 71 (2003-2004)
Volume 70 (2002)
Volume 68 (2001)
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
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

Ronak Mohamaddi; Maryam Al osfoor

Volume 90, Issue 1 , September 2022, , Pages 41-51

https://doi.org/10.22092/jaep.2022.356397.1418

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 More
DDetection of Callosobruchus maculatus F. with image processing and artificial neural network
DDetection of Callosobruchus maculatus F. with image processing and artificial neural network

davood mohamadzamani; saman sajadian; seyed mohamad javidan

Volume 88, Issue 1 , September 2020, , Pages 103-112

https://doi.org/10.22092/jaep.2020.341684.1324

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 More
Evaluation 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
Evaluation 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

Hadis Sedigh; Ronak Mohamaddi; Mahmood Alichi; Maryam Al osfoor

Volume 87, Issue 2 , April 2020, , Pages 173-179

https://doi.org/10.22092/jaep.2020.124982.1263

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 More
Evaluation of the Geostatistical and Artificial Neural Network Methods to estimate the Spatial Distribution of Tetranychus urticae (Acari: Tetranychidae) in Ramhormoz Cucumber fields
Evaluation of the Geostatistical and Artificial Neural Network Methods to estimate the Spatial Distribution of Tetranychus urticae (Acari: Tetranychidae) in Ramhormoz Cucumber fields

A. R. SHABANINEJAD; B. TAFAGHODINIA

Volume 85, No. 1 , September 2017, , Pages 21-30

https://doi.org/10.22092/jaep.2017.107121.1110

Abstract
  In this study, the geostatistical and artificial neural network methods were used to estimate the spatial distribution of Tetranychus urticae in Ramhormoz Cucumber fields. For this ...  Read More