Price estimation of selected grains products based on machine learning for agricultural economic development in Türkiye

Basit Öğe Kaydı
dc.contributor.authorKeskin, Abdulkadir
dc.contributor.authorErsin, İrfan
dc.contributor.authorAtalan, Abdulkadir
dc.date.accessioned2025-11-24T15:50:44Z
dc.date.available2025-11-24T15:50:44Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, Sosyal Bilimler Meslek Yüksekokulu, Bankacılık ve Sigortacılık Ana Bilim Dalı
dc.description.abstractThis study aims to estimate the price fluctuations of essential grain products, namely bread wheat (Triticum aestivum), durum wheat (Triticum durum), barley (Hordeum vulgare), and corn (Zea mays), in Türkiye using machine learning (ML) algorithms. Using data from January 2, 2020, to January 10, 2023, the study employs algorithms such as random forest (RF), neural network (NN), support vector machine (SVM), and linear regression (LR). Independent variables include oil prices, currency exchange rates, and grain production volumes. The random forest (RF) algorithm provided the best results with the highest R² values, while NN and LR showed relatively lower performance. The study highlights the significant impact of production and consumption volumes on grain prices and underscores the importance of ML algorithms in predicting these prices amidst changing conditions. Investments in agricultural technologies should be increased to improve data collection and analysis processes, as this is crucial for preventing price fluctuations in the agricultural sector.
dc.identifier.citationKeskin, A., Ersin, İ. ve Atalan, A. (2024). Price estimation of selected grains products based on machine learning for agricultural economic development in Türkiye. Journal of Animal and Plant Sciences, 34(5), 1290-1302. http://dx.doi.org/10.36899/JAPS.2024.5.0811
dc.identifier.doi10.36899/JAPS.2024.5.0811
dc.identifier.endpage1302
dc.identifier.issn1018-7081
dc.identifier.issn2309-8694
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85209904344
dc.identifier.scopusqualityQ3
dc.identifier.startpage1290
dc.identifier.urihttp://dx.doi.org/10.36899/JAPS.2024.5.0811
dc.identifier.urihttps://hdl.handle.net/20.500.12511/13236
dc.identifier.volume34
dc.identifier.wosWOS:001356639900019
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorErsin, İrfan
dc.institutionauthorid0000-0002-7407-3654
dc.language.isoen
dc.relation.ispartofJournal of Animal and Plant Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAgricultural Products
dc.subjectBarley
dc.subjectBread Wheat
dc.subjectCorn
dc.subjectDurum Wheat
dc.subjectGrains
dc.subjectMachine Learning Algorithms
dc.subjectPrice Estimation
dc.titlePrice estimation of selected grains products based on machine learning for agricultural economic development in Türkiye
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
Ersin-İrfan-2024.pdf
Boyut:
824.65 KB
Biçim:
Adobe Portable Document Format
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.17 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu