IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i11p1927-d974772.html
   My bibliography  Save this article

Analysis of the Effect of Bivariate Fertilizer Discharger Control Sequence on Fertilizer Discharge Performance

Author

Listed:
  • Haoran Bu

    (School of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China)

  • Siyao Yu

    (School of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China)

  • Wancheng Dong

    (School of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China)

  • Lixin Zhang

    (School of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China)

  • Yuanqing Xia

    (Key Laboratory of Intelligent Control and Decision-Making for Complex Systems, School of Automation, Beijing Institute of Technology, Beijing 100081, China)

Abstract

Fertilization stability is an important index for evaluating the operational performance of variable fertilizer dischargers. To study the influence law of the combination of fertilizer discharge wheel rotational speed n and opening L on the fertilizer discharge performance, this paper firstly constructs a fertilizer amount prediction model based on a radial basis function neural network (RBFNN) through a calibration test, and after verification, its determination coefficient reaches 0.99965 with a mean relative error (MRE) of 3.88%. Then the discrete element simulation software (EDEM) was used to simulate the fertilizer discharge process under different control sequences for each of the three target fertilizer application amounts. The simulation results show that at the target fertilizer discharge rate of 944.92 g/min, when the control sequence is 18.3 r/min and 25 mm, the uniformity coefficient of variation (CV) of fertilizer discharge is the smallest. In the other control sequences, σ was higher than 20%, the stability of fertilizer discharge was poor, and the phenomenon of broken strips appeared; under the target fertilizer discharge rate of 2101.47 g/min, σ was the smallest at (24.2 r/min, 45 mm) 4.34%; under the target fertilizer discharge rate of 3842.87 g/min, σ was less than 4% in all cases, and at the control sequence (44.7 r/min, 45 mm), σ reached a minimum of 2.01%. Finally, using the simulation results and the prediction model of fertilizer amount based on RBFNN, the optimization model of fertilizer discharge control sequence based on the differential evolutionary (DE) algorithm was established, and a bench test was conducted to verify the optimization results, which showed that the accuracy and uniformity of fertilizer discharge met the operational requirements.

Suggested Citation

  • Haoran Bu & Siyao Yu & Wancheng Dong & Lixin Zhang & Yuanqing Xia, 2022. "Analysis of the Effect of Bivariate Fertilizer Discharger Control Sequence on Fertilizer Discharge Performance," Agriculture, MDPI, vol. 12(11), pages 1-15, November.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:11:p:1927-:d:974772
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/11/1927/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/12/11/1927/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anna Vatsanidou & Spyros Fountas & Vasileios Liakos & George Nanos & Nikolaos Katsoulas & Theofanis Gemtos, 2020. "Life Cycle Assessment of Variable Rate Fertilizer Application in a Pear Orchard," Sustainability, MDPI, vol. 12(17), pages 1-25, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qiuwei Bai & Hongpin Luo & Xinglan Fu & Xin Zhang & Guanglin Li, 2023. "Design and Experiment of Lightweight Dual-Mode Automatic Variable-Rate Fertilization Device and Control System," Agriculture, MDPI, vol. 13(6), pages 1-20, May.

    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. Le Tran Thanh Liem & Yukihiro Tashiro & Pham Van Trong Tinh & Kenji Sakai, 2022. "Reduction in Greenhouse Gas Emission from Seedless Lime Cultivation Using Organic Fertilizer in a Province in Vietnam Mekong Delta Region," Sustainability, MDPI, vol. 14(10), pages 1-14, May.
    2. Hasan Mirzakhaninafchi & Manjeet Singh & Anoop Kumar Dixit & Apoorv Prakash & Shikha Sharda & Jugminder Kaur & Ali Mirzakhani Nafchi, 2022. "Performance Assessment of a Sensor-Based Variable-Rate Real-Time Fertilizer Applicator for Rice Crop," Sustainability, MDPI, vol. 14(18), pages 1-25, September.
    3. Qin Zhang & Yutao Peng & Jingxin Wang & Longcheng Li & Danjun Yao & Aihua Zhang & Wenhua Wang & Shengjian Kuang & Heng Liao & Qing Zhu & Bangxi Zhang, 2021. "Improving Ecological Functions and Ornamental Values of Traditional Pear Orchard by Co-Planting of Green Manures of Astragalus sinicus L. and Lathyrus cicera L," Sustainability, MDPI, vol. 13(23), pages 1-11, November.

    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:12:y:2022:i:11:p:1927-:d:974772. 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.