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Published October 15, 2017 | Version v1
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Evaluation of geostatistical method and hybrid Artificial Neural Network with imperialist competitive algorithm for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumber field of Behbahan, Iran

Authors/Creators

  • 1. . Department of Plant Protection, Faculty of Agriculture, Shahrood University, Shahrood, Iran; E-mail: shabanialireza565@gmail.com
  • 2. . Department of Plant Production and Sustainable Agriculture, Iranian Research Organization for Science and Technology, Tehran, Iran; E-mail: tafaghodinia@gmail.com
  • 3. . Department of Plant Protection, Faculty of Agriculture, Ramin Agricluture and Natural Resources University of Khuzestan, Ahvaz, Iran; E-mail: nzandisohani@yahoo.com

Description

Shabaninejad, Alireza, Tafaghodinia, Bahram, Zandi-Sohani, Nooshin (2017): Evaluation of geostatistical method and hybrid Artificial Neural Network with imperialist competitive algorithm for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumber field of Behbahan, Iran. Persian Journal of Acarology 6 (4): 315-328, DOI: 10.22073/pja.v6i4.30295, URL: https://www.mendeley.com/catalogue/1cc8b268-7a03-3acc-ace2-37b40dd0c3b9/

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urn:lsid:plazi.org:pub:FD3F2B1E39127206FFCCFFB90516FF84

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