Evaluation of land suitability for olive (Olea europaea L.) cultivation using the random forest algorithm

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dc.authorid0000-0002-8297-9034
dc.authorid0000-0002-9957-1692
dc.contributor.authorYavuz Özalp, Ayşe
dc.contributor.authorAkıncı, Halil
dc.date.accessioned2025-07-18T07:25:45Z
dc.date.available2025-07-18T07:25:45Z
dc.date.issued2023
dc.departmentAÇÜ, Mühendislik Fakültesi, Harita Mühendisliği Bölümü
dc.description.abstractMany large dams built on the Çoruh River have resulted in the inundation of olive groves in Artvin Province, Turkey. This research sets out to identify suitable locations for olive cultivation in Artvin using the random forest (RF) algorithm. A total of 575 plots currently listed in the Farmer Registration System, where olive cultivation is practiced, were used as inventory data in the training and validation of the RF model. In order to determine the areas where olive cultivation can be carried out, a land suitability map was created by taking into account 10 parameters including the average annual temperature, average annual precipitation, slope, aspect, land use capability class, land use capability sub-class, soil depth, other soil properties, solar radiation, and land cover. According to this map, an area of 53,994.57 hectares was detected as suitable for olive production within the study region. To validate the created model, the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC) were utilized. As a result, the AUC value was determined to be 0.978, indicating that the RF method may be successfully used in determining suitable lands for olive cultivation in particular, as well as crop-based land suitability research in general.
dc.identifier.doi10.3390/agriculture13061208
dc.identifier.issn20770472
dc.identifier.issue6
dc.identifier.scopuss2.0-85163891761
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/11494/5830
dc.identifier.volume13
dc.indekslendigikaynakScopus
dc.institutionauthorYavuz Özalp, Ayşe
dc.institutionauthorAkıncı, Halil
dc.institutionauthorid0000-0002-8297-9034
dc.institutionauthorid0000-0002-9957-1692
dc.language.isoen
dc.publisherMDPI
dc.relation.ispartofAgriculture (Switzerland)
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectArtvin
dc.subjectLand suitability
dc.subjectOlive cultivation
dc.subjectRandom forest
dc.titleEvaluation of land suitability for olive (Olea europaea L.) cultivation using the random forest algorithm
dc.typeArticle

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