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Çameli Meslek Yüksekokulu Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/11499/46024

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Language: search.filters.language.enSubject: search.filters.subject.Economic Analysis

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  • Article
    Using Clustering Algorithms of Machine Learning for the Economic Assessment of Land Consolidation Projects
    (Taylor & Francis Ltd, 2026-03-25) Cay, Tayfun; Satilmis, Ramazan Yoldas; Tokat, Sezai
    This study evaluates the economic impact of land consolidation by predicting profitability changes using machine learning techniques. Research was conducted in the Kızılcabölük neighborhood of Denizli, Turkey, using field-based data on parcel structure and farm inputs. Several algorithms - artificial neural networks, decision trees, and linear regression - were tested. Linear regression achieved the best performance (RMSE: 0.0043 validation, 0.0031 testing). Sensitivity analysis showed parcel area, parcel number, and labour as the most influential variables. The results demonstrate that machine learning can reliably estimate post-consolidation profitability using only pre-consolidation data, providing a practical decision-support tool for land consolidation planning.
  • Article
    Citation - WoS: 2
    Economic analysis of land consolidation project: Kızılcabölük neighborhood, Tavas-Denizli-Turkey Province
    (Selcuk Univ Press, 2024-07-03) Cay, Tayfun; Satilmis, Ramazan Yoldas
    In this study, the land consolidation project in Denizli Tavas District K & imath;z & imath;lcab & ouml;l & uuml;k Neighborhood, the economic effects of the consolidation on the neighborhood, were examined by making economic analyzes. The data to be used in the economic analyzes were obtained from the consolidation maps and lists, and at the end of the interviews with farmers. While making the analysis, vegetable production variable, labor input variable, water input variable and fertilizer input variables were used. The economic profitability of consolidation was found by bringing together the obtained variables. The agricultural areas, which were 1292 hectares with consolidation, decreased to 1255 hectares with the cuts made On the other hand, consolidation led to an annual profit of approximately 2.5 million dollars in the project area. It is seen that the most important factor in increasing profitability in the project area is the change in product variety. With the land consolidation, the irrigation system was came to the agricultural areas. Farmers that provide easy and more convenient access to water have turned to corn with high profitability. This situation has led to an increase in the plant production value in the project area.