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Article type: Research Article
Authors: Ji, Hong | He, Xun | Ding, Li | Qu, Zhe | Huang, Wenkang | Wang, Wanzhang*
Affiliations: College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, Henan, China
Correspondence: [*] Corresponding author: Wanzhang Wang, College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, Henan 450002, China. E-mail: [email protected].
Abstract: Based on the investigation data of wheat mechanized harvest in eight major wheat producing areas from the south to the north of Henan Province, the main factors affecting wheat mechanized harvest loss were identified and the influence of each factor was decomposed. In this article, the loss rate of wheat mechanical harvest was calculated by using the method of artificial measurement of wheat yield in the field, and the influencing factors of wheat mechanical harvest operation in 8 regions of Henan province were treated and analyzed by using Tobit regression model. In this paper, the loss rate of wheat mechanical harvest was calculated by using the method of wheat field artificial yield measurement and the influencing factors of wheat mechanical harvest operation in eight regions of Henan province were treated and analyzed by using Tobit regression model. The results show that the average harvest loss rate in the field amounts to 2.96%, the average harvest loss rate at the edge of field amounts to 3.06%, whereas the loss rate in the normal operation area amounts 2.86%. The main factors that caused the harvest loss of wheat field machinery were the maturity of wheat, the area of operation field, the diseases and pests, weather conditions and the accumulated working hours of harvester drivers in a single day. Therefore, the main technical measures to reduce the operation loss of wheat combine harvester were put forward to provide a theoretical basis for promoting the deep integration of agricultural machinery and agronomy.
Keywords: Combined wheat harvester, loss ratio, mechanical harvest, Tobit, influence factor
DOI: 10.3233/JCM-215755
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 2, pp. 457-470, 2022
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