IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i17p13065-d1228871.html
   My bibliography  Save this article

Development and Performance Evaluation of a Pressure-Adjustable Waterjet Stubble-Cutting Device with Thickness Detection for No-Till Sowing

Author

Listed:
  • Minghao Qu

    (College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)

  • Gang Wang

    (College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)

  • Zihao Zhou

    (College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)

  • Xiaomei Gao

    (College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)

  • Hailan Li

    (College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)

  • Hewen Tan

    (College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)

  • Meiqi Xiang

    (College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)

  • Honglei Jia

    (College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)

Abstract

No-till maize ( Zea mays L.) sowing is often affected by stubble. The high-pressure waterjet at a constant rate is powerless to precision applications of stubble cutting and causes water waste. In this study, a pressure-adjustable stubble-cutting device with a stubble-thickness detection device was designed. Through experiments, the quantitative analysis of the moisture content and electrical conductivity ( EC ) of the field soil and stubble during the spring sowing period was conducted, and the effect of soil moisture content ( SMC ), soil compaction ( SC ) and machine forward speed ( V ) on the stubble-thickness detection error ( STDE ) was explored. On this basis, the optimal parameters of the device were analyzed and evaluated, and a verification experiment was applied. The results showed that STDE decreased with the increase of SMC and SC and increased with the increase of V . The response time of the pressure adjustment system is 0.12 s. The stubble-cutting device with thickness detection for two-level pressure regulation reduced the water consumption ( WC ) by 13.22% under the condition that the stubble-cutting rate ( SCR ) remained unchanged. The WC increased with the increase of waterjet pressure ( P ) and decreased with the increase of V . The SCR increased first and then decreased with the increase of cutting angle ( α ). The response surface optimization analysis showed that when P was 26 MPa, α 90.45° and V was 3.36 km/h, the performance was optimal with a 3.03% STDE , a 95.49% stubble SCR and a 49.98 L/ha WC . The measured value of the field verification experiment had a 4.11% relative error existing in STDE , a 4.06% relative error existing in the SCR and a 1.81% relative error existing in WC compared with the predicted value of the regression model. In contrast to the constant rate waterjet cutting device, the application of this device can save WC by 13.22%. This study can provide a reference for the application of waterjet technology and conductivity detection technology in the agricultural field.

Suggested Citation

  • Minghao Qu & Gang Wang & Zihao Zhou & Xiaomei Gao & Hailan Li & Hewen Tan & Meiqi Xiang & Honglei Jia, 2023. "Development and Performance Evaluation of a Pressure-Adjustable Waterjet Stubble-Cutting Device with Thickness Detection for No-Till Sowing," Sustainability, MDPI, vol. 15(17), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:13065-:d:1228871
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/17/13065/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/17/13065/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Muhammad Sohail Memon & Zhou Jun & Chuanliang Sun & Chunxia Jiang & Weiyue Xu & Qiong Hu & Hangxu Yang & Changying Ji, 2019. "Assessment of Wheat Straw Cover and Yield Performance in a Rice-Wheat Cropping System by Using Landsat Satellite Data," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
    2. Jiale Zhao & Xiaogeng Wang & Jian Zhuang & Huili Liu & Yijia Wang & Yajun Yu, 2021. "Coupled Bionic Design Based on Primnoa Mouthpart to Improve the Performance of a Straw Returning Machine," Agriculture, MDPI, vol. 11(8), pages 1-14, August.
    3. Francesco Perotti & Massimiliano Annoni & Aldo Calcante & Michele Monno & Valerio Mussi & Roberto Oberti, 2021. "Experimental Study of Abrasive Waterjet Cutting for Managing Residues in No-Tillage Techniques," Agriculture, MDPI, vol. 11(5), pages 1-18, April.
    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. Dandan Cui & Hongwen Li & Jin He & Qingjie Wang & Caiyun Lu & Zhen Gao & Zhenwei Tong & Guangyuan Zhong, 2023. "Experimental Study on the Effect of Water Jet Cutting Parameters on Maize Stalks," Agriculture, MDPI, vol. 13(4), pages 1-13, April.
    2. Wenqi Zhou & Chao Song & Xiaobo Sun & Ziming Liu & Xue Ni & Kangjia Shen & Yi Jia Wang & Liquan Tian, 2022. "Design of High-Efficiency Soil-Returning Liquid Fertilizer Deep-Application Furrow Openers for Improving Furrowing Performance in Cold Regions of Northeast China," Agriculture, MDPI, vol. 12(9), pages 1-21, August.
    3. Hongbo Xu & Zhichao Hu & Peng Zhang & Fengwei Gu & Feng Wu & Wanli Song & Chunci Wang, 2021. "Optimization and Experiment of Straw Back-Throwing Device of No-Tillage Drill Using Multi-Objective QPSO Algorithm," Agriculture, MDPI, vol. 11(10), pages 1-15, October.
    4. Mwehe Mathenge & Ben G. J. S. Sonneveld & Jacqueline E. W. Broerse, 2022. "Application of GIS in Agriculture in Promoting Evidence-Informed Decision Making for Improving Agriculture Sustainability: A Systematic Review," Sustainability, MDPI, vol. 14(16), pages 1-15, August.

    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:jsusta:v:15:y:2023:i:17:p:13065-:d:1228871. 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.