Design and Test of a Grain Cleaning Loss Monitoring Device for Wheat Combine Harvester

• Published in: Agriculture (Basel) Vol. 14; no. 5; p. 671
• Main Authors: Qu, Zhe, Lu, Qi, Shao, Haihao, Le, Jintao, Wang, Xilong, Zhao, Huihui, Wang, Wanzhang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2024
• Subjects: Agricultural equipment; Agricultural machinery; Cereal crops; Cleaning; cleaning loss; Combine harvesters; Control systems; Design; Farm equipment; Grain; Grain crops; Harvest; harvester; Harvesting; Moisture content; Monitoring; Monitoring systems; Parameters; Real time; Scavenging; sensor; Sensors; Signal processing; Water content; Wheat; Wheat industry; China
• ISSN: 2077-0472; 2077-0472
• DOI: 10.3390/agriculture14050671

As the world’s first large grain crop, wheat in its mechanized harvesting process faces a serious problem, namely, when the combine harvester operating parameters are not set reasonably, it leads to increased losses of wheat kernels to an extent exceeding the prescribed standard, of which the loss of scavenging accounts for a large proportion. Excessive grain harvest loss will not only reduce the quality of the wheat harvest but also adversely affect its yield. Real-time monitoring of losses in the harvesting process is key to the dynamic adjustment of operating parameters to decrease machine harvesting losses. This article proposes a grain cleaning loss monitoring device for combine harvesters suitable for wheat crops. It aims to measure the loss of grain cleaning in the process of wheat harvesting in real time and adjust the operating parameters of the harvester timeously by feeding back the data to the driver in real time, so as to decrease the loss of wheat grains in the process of harvesting and achieve the purpose of reducing the loss of harvest. When the device was tested in the field, the wheat variety was Bainong 4199, the yield per mu was 625.83 kg (one mu is 1/15 of a hectare, or approximately 666.67 m2), the mass of grain was 43.21 g, and the water content was 14.2%. After the test, the monitoring error of the loss monitoring device was within 8%, and the average error rate was 6.69%. The test proves that the monitoring device achieves the expected design effect and meets design requirements. The results of this paper are of significance to the intelligent control system of wheat combine harvesters and provide a reference for research into grain cleaning loss monitoring devices for wheat combine harvesters.