Positioning lands prone for cultivating ficus fars province using fuzzy logic and the GIS approach

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.

SHAMSODDINI A.; Mehrzad H.; KARIMI B.

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

Journal Paper

Paper Information

Journal: Iranian Journal of Remote Sensing & GIS Year:2018 | Volume:10 | Issue:3 Page(s): 1-16

Download Full-Text

Persian Verion

View:

552

Download:

Cites:

Information Journal Paper

Title

Positioning lands prone for cultivating ficus fars province using fuzzy logic and the GIS approach

Author(s)

SHAMSODDINI A. | Mehrzad H. | KARIMI B. | Issue Writer Certificate

Keywords

Agricultural climateQ2

GISQ1

Site selectionQ1

fuzzy logicQ1

figsQ1

Abstract

Agriculture is one of the most important economic parts in each country, which each product requires specific climatic and environmental conditions. So climatoloGISts pay special attention to landuse planning and managing ecological resources with appropriate methods. The purpose of this study is to identify the effective climatic factors and elements in fig planting in Fars province and zoning the areas susceptible to planting this product climatically and environmentally, using the ability of GIS to combine different layers and in the form of different models. In this study, six climatic elements (average temperature, maximum and minimum absolute temperature, average and maximum humidity and amounts of precipitation) from 21 stations of synoptic, climatology and Rain gauge stations in Fars province and 5 environmental parameters (elevation, slope, soil type, erosion and landuse) has been used. First, the climatic elements have been reconstructed using Differences and Ratios methods due to their incompleteness. Then maps of these parameters and elements are plotted in GIS and these maps are standardized and weighted using fuzzy logic and the criteria for fig tree planting, and combined with fuzzy logic, and zoning map of susceptible land obtained in Fars province. The results showed that 32 percent of the lands are very suitable for planting figs, 40 percent has a moderate ability, and 22 percent are also inappropriate for fig tree planting. In addition, 6% of the lands is not worthy of Fig tree planting (lake lands, salty lands, etc. ), which is excluded from the analysis.

Cites

No record.

References

No record.

Cite

APA: Copy

SHAMSODDINI, A., Mehrzad, H., & KARIMI, B.. (2018). Positioning lands prone for cultivating ficus fars province using fuzzy logic and the GIS approach. REMOTE SENSING & GIS, 10(3 ), 1-16. SID. https://sid.ir/paper/365071/en

Vancouver: Copy

SHAMSODDINI A., Mehrzad H., KARIMI B.. Positioning lands prone for cultivating ficus fars province using fuzzy logic and the GIS approach. REMOTE SENSING & GIS[Internet]. 2018;10(3 ):1-16. Available from: https://sid.ir/paper/365071/en

IEEE: Copy

A. SHAMSODDINI, H. Mehrzad, and B. KARIMI, “Positioning lands prone for cultivating ficus fars province using fuzzy logic and the GIS approach,” REMOTE SENSING & GIS, vol. 10, no. 3 , pp. 1–16, 2018, [Online]. Available: https://sid.ir/paper/365071/en

Related Journal Papers