DETERMINING THE EFFECT OF CLIMATIC ELEMENTS ON THE YIELD OF DRY FARMED WHEAT IN EAST AZARBAIJAN PROVINCE BY USING INTELLIGENT NEURAL NETWORK

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.

YAZDANPANAH H.; MOVAHEDI S.; SOLEYMANI TABAR M.; SALEHI M.

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

Journal Paper

Paper Information

Journal: Geography and Development Year:2011 | Volume:8 | Issue:20 Page(s): 133-144

Download Full-Text

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

Persian Verion

View:

952

Download:

Cites:

Information Journal Paper

Title

DETERMINING THE EFFECT OF CLIMATIC ELEMENTS ON THE YIELD OF DRY FARMED WHEAT IN EAST AZARBAIJAN PROVINCE BY USING INTELLIGENT NEURAL NETWORK

Author(s)

YAZDANPANAH H. | MOVAHEDI S. | SOLEYMANI TABAR M. | SALEHI M. | Issue Writer Certificate

Keywords

AGRO CLIMATEQ2

EAST AZARBAIJANQ2

NEUTRAL NETWORKSQ2

Abstract

The main objective of this study is finding a proper model for predicting the yield of dry farmed wheat with the use of climate parameters in the province. For predicting the yield of dry farmed wheat, neural networks have been used. Firstly, the yield data of wheat during statistical period of 1995-2003 from information bank of Ministry of Agriculture for each township was prepared separately and then meteorological statistics from the existing stations in these townships were extracted from information bank of Iran’s Meteorological organization for similar statistical period. 7 years of the existing statistic were considered for model training and two years were considered for the test file. To adopt the best model, it was required to determine the best input matrix of meteorology data. For this purpose, the first input matrix containing 9 initial meteorological parameters which finally through calculating the error amount of the model, the best composition was obtained when the parameters of precipitation, temperature, number of days with heat and cold stress, transpiration, evaporation and number of rainy days have been included in the input matrix.The results showed that, the first factor has the highest role in determining the yield of dry farm wheat in EAST AZARBAIJAN province. The second effective factor on the yield of dry wheat is the amount of evaporation and transpiration. To evaluate the accuracy of model based on the predicted yield, the index for compliance rate (d) was calculated, and the results showed that the accuracy rate is 0.82.

Cites

References

Cite

APA: Copy

YAZDANPANAH, H., MOVAHEDI, S., SOLEYMANI TABAR, M., & SALEHI, M.. (2011). DETERMINING THE EFFECT OF CLIMATIC ELEMENTS ON THE YIELD OF DRY FARMED WHEAT IN EAST AZARBAIJAN PROVINCE BY USING INTELLIGENT NEURAL NETWORK. GEOGRAPHY AND DEVELOPMENT, 8(20), 133-144. SID. https://sid.ir/paper/77377/en

Vancouver: Copy

YAZDANPANAH H., MOVAHEDI S., SOLEYMANI TABAR M., SALEHI M.. DETERMINING THE EFFECT OF CLIMATIC ELEMENTS ON THE YIELD OF DRY FARMED WHEAT IN EAST AZARBAIJAN PROVINCE BY USING INTELLIGENT NEURAL NETWORK. GEOGRAPHY AND DEVELOPMENT[Internet]. 2011;8(20):133-144. Available from: https://sid.ir/paper/77377/en

IEEE: Copy

H. YAZDANPANAH, S. MOVAHEDI, M. SOLEYMANI TABAR, and M. SALEHI, “DETERMINING THE EFFECT OF CLIMATIC ELEMENTS ON THE YIELD OF DRY FARMED WHEAT IN EAST AZARBAIJAN PROVINCE BY USING INTELLIGENT NEURAL NETWORK,” GEOGRAPHY AND DEVELOPMENT, vol. 8, no. 20, pp. 133–144, 2011, [Online]. Available: https://sid.ir/paper/77377/en

Related Journal Papers