Effect of Input Usage on Wheat Yield: An Application of Artificial Neural Networks (ANN)

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dc.contributor.authorDemirel, M. H.
dc.contributor.authorSengul, Z.
dc.contributor.authorBaran, M. F.
dc.contributor.authorGokdogan, O.
dc.date.accessioned2024-12-24T19:33:16Z
dc.date.available2024-12-24T19:33:16Z
dc.date.issued2024
dc.departmentSiirt Üniversitesi
dc.description.abstractThis study aimed to investigate the effects of inputs such as pesticides, fertilizers, seeds, labor and machine use on wheat yield. The data used in the study were obtained from 177 wheat producers in Diyarbakir Province through a questionnaire, and Artificial Neural Networks (ANN) were used in the analysis of the data. According to the results, the average wheat yield is 5482.03 kg ha(-1), and 294.75 kg of seeds, 550.73 kg of fertilizer, 3.59 hours of machinery, 5.37 hours of labor and 2662.43 cc of pesticides were used per hectare for wheat production. According to the results of the ANN analysis, the relative importance of inputs affecting wheat yield was quantified, with the use of pesticides and fertilizer having the most significant impacts. Specifically, the sensitivity coefficients for pesticide use and fertilizer use were found to be 0.23 and 0.14, respectively. These coefficients represent the relative change in wheat yield per unit change in the input parameters.
dc.identifier.endpage245
dc.identifier.issn1680-7073
dc.identifier.issn2345-3737
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85187153303
dc.identifier.scopusqualityQ2
dc.identifier.startpage233
dc.identifier.urihttps://hdl.handle.net/20.500.12604/8041
dc.identifier.volume26
dc.identifier.wosWOS:001186928200012
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTarbiat Modares Univ
dc.relation.ispartofJournal of Agricultural Science and Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectFertilzer effects
dc.subjectPesticide effects
dc.subjectProduction inputs
dc.subjectWheat productionn
dc.titleEffect of Input Usage on Wheat Yield: An Application of Artificial Neural Networks (ANN)
dc.typeArticle

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