Application of Combined Geostatistics with Optimized Artificial Neural Network by Genetic Algorithm to estimate the distribution of Coccinella septempunctata (Col: . Coccinellidae) in the alfalfa farm of Bajgah

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Mohamadi Ronak; Shabaninejad Alireza; ALICHI MAHMOOD

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Entomological Society of Iran Year:2018 | Volume:38 | Issue:1 (73) Page(s): 1-14

Download Full-Text

Persian Verion

View:

234

Download:

Cites:

Information Journal Paper

Title

Application of Combined Geostatistics with Optimized Artificial Neural Network by Genetic Algorithm to estimate the distribution of Coccinella septempunctata (Col: . Coccinellidae) in the alfalfa farm of Bajgah

Author(s)

Mohamadi Ronak | Shabaninejad Alireza | ALICHI MAHMOOD | Issue Writer Certificate

Keywords

Artificial Neural NetworksQ1

Genetic AlgorithmQ1

spatial distributionQ1

Coccinella septempunctataQ1

Abstract

Today, with the advance statistical techniques and neural networks, predictive models of distribution were rapidly developed in ecology. Due to the difficulty of sampling, there are usually not enough samples in such studies. Therefore, in order to predict and mapping the distribution of Coccinella septempunctata used the combination of the Kriging method with multilevel perceptron neural networks (MLP) combined with Genetic Algorithm at the farm level. Population data of pest was obtained in 2014 by sampling in 221 fixed points in the alfalfa farm of Bajgah. The data was interpolated by ordinary Kriging method with spherical variogram, which had the best performance, and introduced as a neural network input. To evaluate the ability combined geostatistics with optimized artificial neural network by genetic to predict the distribution used statistical comparison parameters such as mean, variance, statistical distribution and between predicted values and actual values. Results indicating that there was non-significant difference between statistical parameters such as average, variance, statistical distribution and also coefficient of determination in the observed and the estimated Coccinella septempunctata density. Our map showed that pest distribution was patchy.

Cites

No record.

References

No record.

Cite

APA: Copy

Mohamadi, Ronak, Shabaninejad, Alireza, & ALICHI, MAHMOOD. (2018). Application of Combined Geostatistics with Optimized Artificial Neural Network by Genetic Algorithm to estimate the distribution of Coccinella septempunctata (Col: . Coccinellidae) in the alfalfa farm of Bajgah. JOURNAL OF ENTOMOLOGICAL SOCIETY OF IRAN (JESI), 38(1 (73) ), 1-14. SID. https://sid.ir/paper/374947/en

Vancouver: Copy

Mohamadi Ronak, Shabaninejad Alireza, ALICHI MAHMOOD. Application of Combined Geostatistics with Optimized Artificial Neural Network by Genetic Algorithm to estimate the distribution of Coccinella septempunctata (Col: . Coccinellidae) in the alfalfa farm of Bajgah. JOURNAL OF ENTOMOLOGICAL SOCIETY OF IRAN (JESI)[Internet]. 2018;38(1 (73) ):1-14. Available from: https://sid.ir/paper/374947/en

IEEE: Copy

Ronak Mohamadi, Alireza Shabaninejad, and MAHMOOD ALICHI, “Application of Combined Geostatistics with Optimized Artificial Neural Network by Genetic Algorithm to estimate the distribution of Coccinella septempunctata (Col: . Coccinellidae) in the alfalfa farm of Bajgah,” JOURNAL OF ENTOMOLOGICAL SOCIETY OF IRAN (JESI), vol. 38, no. 1 (73) , pp. 1–14, 2018, [Online]. Available: https://sid.ir/paper/374947/en

Related Journal Papers