Land suitability assessment for rapeseed potential cultivation in upper Tigris basin of Turkiye comparing fuzzy and boolean logic

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dc.authoridBUDAK, MESUT/0000-0001-5715-1246
dc.contributor.authorBudak, Mesut
dc.contributor.authorKilic, Mirac
dc.contributor.authorGunal, Hikmet
dc.contributor.authorCelik, Ismail
dc.contributor.authorSirri, Mesut
dc.date.accessioned2024-12-24T19:27:19Z
dc.date.available2024-12-24T19:27:19Z
dc.date.issued2024
dc.departmentSiirt Üniversitesi
dc.description.abstractAssessment of land suitability is a prerequisite for the conservation and maintenance of land productivity and the improvement of land use and management systems. This study assessed land suitability for rapeseed (Brassica napus L.) production using topography, climate, and soil data by analytical hierarchy process (AHP) and the Mamdani Fuzzy Inference System (MFIS). The study area covers 3737 km2 of land in the Diyarbakir province of southeastern Turkiye. The weights of topography, soil and climate factors in AHP were determined by expert opinions and the information in related literature. They were included in the whole process, mainly membership functions and rule base stages in the MFIS. The highest weighted factor was slope (0.264), followed by altitude (0.121), annual average temperature (0.114) and soil texture (0.112). The MFIS-based land suitability assessment indicated that the proportions of moderately (S2), marginally (S3) and currently not suitable (N1) land classes in the study area were 71.35%, 18.75% and 9.9%, respectively. The AHP results showed that 98.94% of the land was S3, and 1.06% was N1. The compatibility of AHP and MFIS methods in N1 land units was 96.05%, while the agreement for S2 and S3 land classes was not sufficiently high. The suitability of rapeseed cultivation has been more sensitively assessed by the fuzzy continuous classification obtained by the MFIS method.
dc.description.sponsorshipScientific and Research Council of Turkiye (TUBITAK) [TOVAG 214O374]
dc.description.sponsorshipThe field studies and all laboratory analysis of the study have been funded by the Scientific and Research Council of Turkiye (TUBITAK) with a grant number of TOVAG 214O374.
dc.identifier.doi10.1016/j.indcrop.2023.117806
dc.identifier.issn0926-6690
dc.identifier.issn1872-633X
dc.identifier.scopus2-s2.0-85178041640
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.indcrop.2023.117806
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6603
dc.identifier.volume208
dc.identifier.wosWOS:001124029700001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofIndustrial Crops and Products
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectArtificial intelligence
dc.subjectMultiple-criteria decision analysis
dc.subjectSustainable agriculture
dc.subjectLand use type
dc.titleLand suitability assessment for rapeseed potential cultivation in upper Tigris basin of Turkiye comparing fuzzy and boolean logic
dc.typeArticle

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