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ORIGINAL RESEARCH article

Front. Plant Sci.
Sec. Sustainable and Intelligent Phytoprotection
Volume 15 - 2024 | doi: 10.3389/fpls.2024.1481909
This article is part of the Research Topic Advanced Methods, Equipment and Platforms in Precision Field Crops Protection, Volume II View all 4 articles

Design and Validation of a Real-Time Cassava Planter Seed Quality Monitoring System Based on Optical Fiber Sensors and Rotary Encoders

Provisionally accepted
Bin Yan Bin Yan Zhende Cui Zhende Cui *Ganran Deng Ganran Deng *Guojie Li Guojie Li *Shuang Zheng Shuang Zheng *Fengguang He Fengguang He *Ling Li Ling Li *Pinlan Chen Pinlan Chen *Xilin Wang Xilin Wang *Sili Zhou Sili Zhou *Ye Dai Ye Dai *Shuangmei Qin Shuangmei Qin *Zehua Liu Zehua Liu *
  • Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China

The final, formatted version of the article will be published soon.

    Targeting the issues of seed leakage and cutting segment adhesion due to poor seed feeding and cutting in real-time seed-cutting cassava planters, this study developed a seeding quality monitoring system. Based on the structure and working principle of the seed cutting and discharging device, the installation methods of the matrix fiber optic sensor and rotary encoder were determined. By combining the operational characteristics of the planter's ground wheel drive with seed cutting and seed dropping, a monitoring model correlating the sowing parameters with seed dropping time was established; a monitoring window was created by extracting and processing the rotary encoder pulse signal, and the number of seeds sown after each opposing cutter's operation was calculated based on the pulse width information within the monitoring window. The monitoring system's statistics were compared and analyzed with the manual statistics, and the bench test showed that the monitoring system designed in this study offers high accuracy. When the simulated rotational speed of the opposing cutter ranges from 10 to 30 rpm, the average monitoring error between the monitored and actual seeding quantities for the left and right rows is less than 1.4%. The monitoring system can promptly and accurately activate sound and light alarms for faults, achieving a 100% success rate in alarms and an average fault response time of less than 0.4 seconds. Field tests demonstrate that the average error in seeding volume is 0.91%, and the monitoring system can timely alert to faults occurring in the planter. The system fulfills the requirements for real-time monitoring of cassava seeding volume at various operating speeds in field conditions, and can serve as a reference for monitoring operational parameters in subsequent cassava combine harvesters.

    Keywords: cassava combine planter, cassava seed stalk, seeding quality monitoring, Fault monitoring, Sensor

    Received: 16 Aug 2024; Accepted: 15 Nov 2024.

    Copyright: © 2024 Yan, Cui, Deng, Li, Zheng, He, Li, Chen, Wang, Zhou, Dai, Qin and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Zhende Cui, Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
    Ganran Deng, Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
    Guojie Li, Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
    Shuang Zheng, Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
    Fengguang He, Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
    Ling Li, Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
    Pinlan Chen, Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
    Xilin Wang, Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
    Sili Zhou, Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
    Ye Dai, Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
    Shuangmei Qin, Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
    Zehua Liu, Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.