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Ramie Field Distribution Model and Miss Cutting Rate Prediction Based on the Statistical Analysis

Author

Listed:
  • Bin Zhang

    (School of Mechanical Engineering, Southeast University, Nanjing 211189, China
    Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Haolu Liu

    (Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Jicheng Huang

    (Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Kunpeng Tian

    (Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Cheng Shen

    (Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Xianwang Li

    (Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Xingsong Wang

    (School of Mechanical Engineering, Southeast University, Nanjing 211189, China)

Abstract

Ramie is an important cash crop in China, and ramie fiber is an important raw material for the textile industry. As a shrub plant, the spatial distribution of the ramie plant is different from that of herbaceous crops, and its plant spacing and row spacing are not fixed, which affects the cutting operation during harvest. In order to solve the above problems, this study constructed a ramie spatial distribution model with statistical methods, and built a prediction model of ramie harvesting feeding quantity on this basis. Based on the analysis of the absolute motion trail of the ramie harvester cutting knife, the calculation equation of the missing cutting area was established, and then the prediction model of the mis-cutting rate was obtained. The results of the ramie field harvest showed that the prediction model of the feed quantity and mis-cutting rate was effective. These methods can provide references to the control and optimization of ramie harvester parameters.

Suggested Citation

  • Bin Zhang & Haolu Liu & Jicheng Huang & Kunpeng Tian & Cheng Shen & Xianwang Li & Xingsong Wang, 2022. "Ramie Field Distribution Model and Miss Cutting Rate Prediction Based on the Statistical Analysis," Agriculture, MDPI, vol. 12(5), pages 1-15, April.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:5:p:651-:d:806546
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    Citations

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    Cited by:

    1. Dengyu Xiong & Mingliang Wu & Wei Xie & Haifeng Luo, 2023. "Design and Experimental Study of the Key Components of a Rape ( Brassica campestris ) Shoots (Changxiangtai 603) Flexible Clamping Harvester," Agriculture, MDPI, vol. 13(4), pages 1-20, March.
    2. Teng Wu & Fanting Kong & Lei Shi & Qing Xie & Yongfei Sun & Changlin Chen, 2022. "Power Consumption Influence Test of Castor Disc-Cutting Device," Agriculture, MDPI, vol. 12(10), pages 1-14, September.
    3. Wei Xiang & Bo Yan & Yiping Duan & Zhe Tang & Lan Ma & Jiajie Liu & Jiangnan Lv, 2023. "Design and Parameter Optimization of Transverse-Feed Ramie Decorticator," Agriculture, MDPI, vol. 13(6), pages 1-16, May.

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