Effect of Input Usage on Wheat Yield: An Application of Artificial Neural Networks (ANN)
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Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Tarbiat Modares Univ
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This 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.
Açıklama
Anahtar Kelimeler
Fertilzer effects, Pesticide effects, Production inputs, Wheat productionn
Kaynak
Journal of Agricultural Science and Technology
WoS Q Değeri
N/A
Scopus Q Değeri
Q2
Cilt
26
Sayı
2
