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Design and Experiment of a Sowing Quality Monitoring System of Cotton Precision Hill-Drop Planters

Author

Listed:
  • Shenghe Bai

    (College of Engineering, China Agricultural University, Beijing 100083, China
    The State Key Laboratory of Soil Plant and Machine System Technology, China Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing 100083, China)

  • Yanwei Yuan

    (College of Engineering, China Agricultural University, Beijing 100083, China
    The State Key Laboratory of Soil Plant and Machine System Technology, China Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing 100083, China)

  • Kang Niu

    (The State Key Laboratory of Soil Plant and Machine System Technology, China Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing 100083, China)

  • Zenglu Shi

    (College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China)

  • Liming Zhou

    (The State Key Laboratory of Soil Plant and Machine System Technology, China Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing 100083, China)

  • Bo Zhao

    (The State Key Laboratory of Soil Plant and Machine System Technology, China Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing 100083, China)

  • Liguo Wei

    (The State Key Laboratory of Soil Plant and Machine System Technology, China Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing 100083, China)

  • Lijing Liu

    (College of Engineering, China Agricultural University, Beijing 100083, China
    The State Key Laboratory of Soil Plant and Machine System Technology, China Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing 100083, China)

  • Yuankun Zheng

    (College of Engineering, China Agricultural University, Beijing 100083, China)

  • Sa An

    (The State Key Laboratory of Soil Plant and Machine System Technology, China Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing 100083, China)

  • Yihua Ma

    (The State Key Laboratory of Soil Plant and Machine System Technology, China Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing 100083, China)

Abstract

To realize the real-time monitoring of the cotton precision seeding operation process and improve the intelligence level of cotton precision planters, based on automatic color matching detection technology and visualization technology, this study designs a monitoring system for the sowing quality of cotton precision planters. The monitoring system is based on the double-silo turntable type cotton vertical disc hole seed metering device as the research carrier, and is composed of a missed seeding monitoring module and a visualization module. Among them, the missed seeding monitoring module includes an incremental rotary encoder, color code electric eye color fiber optic sensor, color code sensor amplifier, etc.; the visualization module includes data acquisition module, industrial computer, and so on. The missing seeding monitoring module is installed on the seed spacer of the cotton precision seed metering device. It uses Labview software for graphical programming and is equipped with a multi-functional industrial computer. It realizes the monitoring of parameters such as the number of sowings, the number of missed sowings, the speed of the hole seeder, the forward speed of the machine, and the sowing area. The results of the bench test and field test of the sowing monitoring system showed that the accuracy rate of the system’s broadcast monitoring was over 93%, and the accuracy rate of missed broadcast monitoring was over 91%. The system solved the technical problem that cotton film-laying and sowing were not easy to detect. It could accurately detect the quality of cotton sowing in real time and meet the actual requirements of sowing monitoring.

Suggested Citation

  • Shenghe Bai & Yanwei Yuan & Kang Niu & Zenglu Shi & Liming Zhou & Bo Zhao & Liguo Wei & Lijing Liu & Yuankun Zheng & Sa An & Yihua Ma, 2022. "Design and Experiment of a Sowing Quality Monitoring System of Cotton Precision Hill-Drop Planters," Agriculture, MDPI, vol. 12(8), pages 1-14, July.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:8:p:1117-:d:874934
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    Citations

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    Cited by:

    1. Wenming Chen & Lianglong Hu & Gongpu Wang & Jianning Yuan & Guocheng Bao & Haiyang Shen & Wen Wu & Zicheng Yin, 2023. "Design of 4UM-120D Electric Leafy Vegetable Harvester Cutter Height off the Ground Automatic Control System Based on Incremental PID," Agriculture, MDPI, vol. 13(4), pages 1-18, April.
    2. Wenming Chen & Gongpu Wang & Lianglong Hu & Jianning Yuan & Wen Wu & Guocheng Bao & Zicheng Yin, 2022. "PID-Based Design of Automatic Control System for a Travel Speed of the 4UM-120D Electric Leafy Vegetable Harvester," Sustainability, MDPI, vol. 14(21), pages 1-14, October.
    3. Ling Ren & Shuang Wang & Bin Hu & Tao Li & Ming Zhao & Yuquan Zhang & Miao Yang, 2023. "Seed State-Detection Sensor for a Cotton Precision Dibble," Agriculture, MDPI, vol. 13(8), pages 1-18, July.
    4. Gongpu Wang & Wenming Chen & Xinhua Wei & Lianglong Hu & Jiwen Peng & Jianning Yuan & Guocheng Bao & Yemeng Wang & Haiyang Shen, 2023. "Design and Simulation Test of the Control System for the Automatic Unloading and Replenishment of Baskets of the 4UM-120D Electric Leafy Vegetable Harvester," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
    5. Yu Ren & Wensong Guo & Xufeng Wang & Can Hu & Long Wang & Xiaowei He & Jianfei Xing, 2022. "Design and Test of Duckbill Welding Robot for Cotton Seeder," Agriculture, MDPI, vol. 13(1), pages 1-16, December.
    6. Jin Yuan & Wei Ji & Qingchun Feng, 2023. "Robots and Autonomous Machines for Sustainable Agriculture Production," Agriculture, MDPI, vol. 13(7), pages 1-4, July.

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