IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i4p589-d1371886.html
   My bibliography  Save this article

Establishment of a Feeding Rate Prediction Model for Combine Harvesters

Author

Listed:
  • Zhenwei Liang

    (Key Laboratory of Modern Agricultural Equipment and Technology, Jiangsu University, Ministry of Education, Zhenjiang 212013, China
    Ruiniu Stock Company Limited, Wuxi 214000, China)

  • Yongqi Qin

    (Key Laboratory of Modern Agricultural Equipment and Technology, Jiangsu University, Ministry of Education, Zhenjiang 212013, China)

  • Zhan Su

    (Key Laboratory of Modern Agricultural Equipment and Technology, Jiangsu University, Ministry of Education, Zhenjiang 212013, China
    Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua 321017, China)

Abstract

Feeding rates serve as a vital indicator for adjusting the working parameters of the combine harvester. A non-invasive diagnostic approach to predicting the feed rates of combine harvesters by collecting vibration signals of the inclined conveyor was introduced in this study. To establish a feed rate prediction model, the correlation between feeding rates and vibration signal characteristics was investigated. Vibration signal characteristics in both the time domain and frequency domain were also analyzed in detail. The RMS (root mean square) value and the total RMS value of the one-third octave extracted from the vibration signal were utilized to establish a feed rate prediction model, and field tests were conducted to verify the model performance. The experimental results indicated that the relative errors of the established model range from 3.1% to 4.9% when harvesting rice. With the developed feed rate prediction system, the control system of the combine harvester can acquire feed rate information in real time, and the working parameters can be adjusted in advance, thereby, it can be expected to greatly enhance the working performance of the combine harvesters.

Suggested Citation

  • Zhenwei Liang & Yongqi Qin & Zhan Su, 2024. "Establishment of a Feeding Rate Prediction Model for Combine Harvesters," Agriculture, MDPI, vol. 14(4), pages 1-15, April.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:4:p:589-:d:1371886
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/4/589/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/14/4/589/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fazheng Wang & Yanbin Liu & Yaoming Li & Kuizhou Ji, 2023. "Research and Experiment on Variable-Diameter Threshing Drum with Movable Radial Plates for Combine Harvester," Agriculture, MDPI, vol. 13(8), pages 1-16, July.
    2. Tao Zhang & Yaoming Li & Guoliang You, 2023. "Experimental Study on the Cleaning Performance of Hot Air Flow Cleaning Device," Agriculture, MDPI, vol. 13(9), pages 1-17, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bangzhui Wang & Kexin Que & Zhong Tang & Meiyan Sun & Yi Lian & Haoyang Wang, 2024. "Multivariate Structural Vibration Coupling Response of the Self-Propelled Straw Pickup Baler Under Time-Varying Loads," Agriculture, MDPI, vol. 14(11), pages 1-28, November.
    2. Shiguo Wang & Bin Li & Shuren Chen & Zhong Tang & Weiwei Zhou & Xiaohu Guo, 2024. "Design and Performance Test of Soybean Profiling Header Suitable for Harvesting Bottom Pods on Film," Agriculture, MDPI, vol. 14(7), pages 1-16, June.
    3. Jie Ma & Qinghao He & Duanyang Geng & Lin Niu & Yipeng Cui & Qiming Yu & Jianning Yin & Yang Wang & Lei Ni, 2024. "Research and Experimentation on Sparse–Dense Interphase Curved-Tooth Sorghum Threshing Technology," Agriculture, MDPI, vol. 14(10), pages 1-15, October.
    4. Qian Zhang & Qingshan Chen & Wenjie Xu & Lizhang Xu & En Lu, 2024. "Prediction of Feed Quantity for Wheat Combine Harvester Based on Improved YOLOv5s and Weight of Single Wheat Plant without Stubble," Agriculture, MDPI, vol. 14(8), pages 1-29, July.
    5. Xinzhong Wang & Tianyu Hong & Weiquan Fang & Xingye Chen, 2024. "Optimized Design for Vibration Reduction in a Residual Film Recovery Machine Frame Based on Modal Analysis," Agriculture, MDPI, vol. 14(4), pages 1-21, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:14:y:2024:i:4:p:589-:d:1371886. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.