Volume 26, Issue 2 (2024)                   JAST 2024, 26(2): 233-245 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Demirel M H, Sengul Z, Baran M F, Gokdogan O. Effect of Input Usage on Wheat Yield: An Application of Artificial Neural Networks (ANN). JAST 2024; 26 (2) :233-245
URL: http://jast.modares.ac.ir/article-23-62492-en.html
1- Graduate School of Natural and Applied Sciences, Siirt University, Siirt, Turkey.
2- Department of Agricultural Economics, Faculty of Agriculture, Siirt University, Siirt, Turkey. , zekiye.sengul@siirt.edu.tr
3- Department of Biosystem Engineering, Faculty of Agriculture, Siirt University, Siirt, Turkey.
4- Department of Agricultural Machinery and Technologies Engineering, Faculty of Agriculture, Isparta University of Applied Sciences, Isparta, Turkey.
Abstract:   (926 Views)
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.
Full-Text [PDF 6311 kb]   (815 Downloads)    
Article Type: Original Research | Subject: Agricultural Economics/Agriculture Production and Farm Management
Received: 2022/06/27 | Accepted: 2023/03/1 | Published: 2024/03/9

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.