Determination of Suitable Lands for Sugar Beet Cultivation Using GIS and FUCOM

The primary objective of this study is to evaluate the suitability of sugar beet lands using Geographic Information Systems (GIS) and the Multi Criteria Decision Making (MCDM) method, due to the limited number of crop-based land suitability studies on sugar beet cultivation in the literature. The research was conducted in the central and northern parts of the Karamenderes Plain, covering approximately 52,000 ha in NW Türkiye, where farmers have recently shifted to sugar beet cultivation for economic reasons but lack spatial decision-support tools. In the study, eight soil and land characteristics were evaluated: soil texture, pH, electrical conductivity (EC), soil depth, organic carbon content, slope, drainage, and the Soil Fertility Index Score (nitrogen, phosphorus, and potassium) (SFIS). The Full Consistency Method (FUCOM) was used to determine the weighted values of soil and land characteristics. Present assessments revealed that of the evaluated lands, 28047,50 ha was highly suitable, 21290,10 ha moderately suitable, 394,42 ha marginally suitable, and 2105,16 ha not suitable for sugar beet cultivation. The combined use of FUCOM and GIS to determine suitable land for sugar beet cultivation facilitated assessments and provided significant advantages in terms of time and economic aspects. In addition to identifying suitable areas for sugar beet cultivation, the findings provide a practical decision-support approach for land-use planning and agricultural policymaking by enabling more efficient, sustainable use of land resources. The proposed model can be used under similar or different environmental conditions.

Authors

Institutions

Publication Details

Journal
Tarım Bilimleri Dergisi
Published
2026-07-28
DOI
https://doi.org/10.15832/ankutbd.1794266
Primary Topic
Soil and Land Suitability Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determination of Suitable Lands for Sugar Beet Cultivation Using GIS and FUCOM

Timuçin Everest
Tarım Bilimleri Dergisi
Soil and Land Suitability Analysis
article

Determination of Suitable Lands for Sugar Beet Cultivation Using GIS and FUCOM

Timuçin Everest
article en

Abstract

The primary objective of this study is to evaluate the suitability of sugar beet lands using Geographic Information Systems (GIS) and the Multi Criteria Decision Making (MCDM) method, due to the limited number of crop-based land suitability studies on sugar beet cultivation in the literature. The research was conducted in the central and northern parts of the Karamenderes Plain, covering approximately 52,000 ha in NW Türkiye, where farmers have recently shifted to sugar beet cultivation for economic reasons but lack spatial decision-support tools. In the study, eight soil and land characteristics were evaluated: soil texture, pH, electrical conductivity (EC), soil depth, organic carbon content, slope, drainage, and the Soil Fertility Index Score (nitrogen, phosphorus, and potassium) (SFIS). The Full Consistency Method (FUCOM) was used to determine the weighted values of soil and land characteristics. Present assessments revealed that of the evaluated lands, 28047,50 ha was highly suitable, 21290,10 ha moderately suitable, 394,42 ha marginally suitable, and 2105,16 ha not suitable for sugar beet cultivation. The combined use of FUCOM and GIS to determine suitable land for sugar beet cultivation facilitated assessments and provided significant advantages in terms of time and economic aspects. In addition to identifying suitable areas for sugar beet cultivation, the findings provide a practical decision-support approach for land-use planning and agricultural policymaking by enabling more efficient, sustainable use of land resources. The proposed model can be used under similar or different environmental conditions.

Tarım Bilimleri DergisiVol. 32(3)
Çanakkale Onsekiz Mart Üniversitesi (TR)
Zero hunger
Openalex Percentile: Top 5%
Soil and Land Suitability Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.