外文摘要：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.
外文关键词：Fertilzer effects;Pesticide effects;Production inputs;Wheat productionn
作者：Demirel, M H;Sengul, Z;Baran, M F;Gokdogan, O
作者单位：Siirt Univ;Isparta Univ Appl Sci
期刊名称：JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY
期刊影响因子：0.0
出版年份：2024
出版刊次：26(2)
原文传递申请：江苏省科技资源（工程技术文献）统筹服务平台