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Seed State-Detection Sensor for a Cotton Precision Dibble

Author

Listed:
  • Ling Ren

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

  • Shuang Wang

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

  • Bin Hu

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

  • Tao Li

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

  • Ming Zhao

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

  • Yuquan Zhang

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

  • Miao Yang

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

Abstract

In Xinjiang, precision hole-sowing technology is used for cotton cultivation. A disc-type seed disperser has problems with missing seeds and multi-seeding; therefore, an interdigital (multiple pairs of coplanar electrodes crossed) capacitance sensor is designed to determine the seed pick-up status by gathering electrical capacity information. Firstly, a theoretical derivation is performed for calculating the capacitance of the sensor, and it is concluded that the interdigital spacing, interdigital width, and interdigital logarithm all affect the output capacitance. Then, by analyzing the working process of the dibble, the assemblage position of the sensor and the dimensional constraints were determined. In order to explore the impact of various structural parameters on the sensor’s performance (signal strength and capacitance variation), a Maxwell simulation platform was established, and orthogonal tests were created to optimize the structural parameters. In addition, the STM32 microcontroller is utilized as the core, and it is linked with the PCAP01-AD chip to form a tiny capacitance-detecting circuit. Finally, the capacitance threshold division test determined the capacitance threshold at different seed states. The test results demonstrate that the interdigital capacitive sensor can accurately determine the precision dibble’s seeding status, with detection accuracies of 96.9% for normal seeding, 99.67% for miss-seeding, and 93.77% for multiple seeds. These results can be used as a research reference for capacitive seeding status-detection technology.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:8:p:1515-:d:1205640
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    References listed on IDEAS

    as
    1. Chunling Zhang & Xiaodong Xie & Zihao Zheng & Xiaoqing Wu & Weiwei Wang & Liqing Chen, 2022. "A Plant Unit Relates to Missing Seeding Detection and Reseeding for Maize Precision Seeding," Agriculture, MDPI, vol. 12(10), pages 1-20, October.
    2. 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.
    3. Huaiyu Liu & Zhijun Meng & Anqi Zhang & Yue Cong & Xiaofei An & Weiqiang Fu & Guangwei Wu & Yanxin Yin & Chengqian Jin, 2022. "On-Line Detection Method and Device for Moisture Content Measurement of Bales in a Square Baler," Agriculture, MDPI, vol. 12(8), pages 1-16, August.
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