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Design and Experiment of Lightweight Dual-Mode Automatic Variable-Rate Fertilization Device and Control System

Author

Listed:
  • Qiuwei Bai

    (College of Engineering and Technology, Southwest University, Chongqing 400715, China)

  • Hongpin Luo

    (College of Engineering and Technology, Southwest University, Chongqing 400715, China)

  • Xinglan Fu

    (College of Engineering and Technology, Southwest University, Chongqing 400715, China)

  • Xin Zhang

    (College of Engineering and Technology, Southwest University, Chongqing 400715, China)

  • Guanglin Li

    (College of Engineering and Technology, Southwest University, Chongqing 400715, China)

Abstract

China’s agricultural facilities are developing rapidly and are mainly operated through household contracting. Due to a lack of suitable variable-rate fertilization devices, manual and blind fertilization still widely exists, resulting in fertilizer waste and environmental pollution. Meanwhile, existing fertilization devices cannot simultaneously meet the needs of different fertilization methods for crop cultivation, increasing the cost of mechanized fertilization. This study developed a lightweight dual-mode automatic variable-rate fertilization device and control system for strip fertilization and spreading fertilization. The least squares method was used to analyze the amount of fertilizer discharged per second at different volumes and rotational speeds of the fertilization device. The quadratic polynomial model fits well, with determination coefficients greater than 0.99. The automatic variable strip fertilization and spreading fertilization control models were established. Experiments with strip fertilization and spreading fertilization were carried out. The results of strip fertilization experiments show that the maximum relative error ( R e ) for granular nitrogen fertilizer (NF) was 6.81%, compound fertilizer (CF) was 6.2%, organic compound fertilizer (OCF) was 6.83%, and the maximum coefficient of variation ( C v ) of uniformity was 8.91%. The results of spreading fertilization experiments show that the maximum R e of granular NF was 7.31%, granular CF was 6.76%, granular OCF was 7.43%, the C v of lateral uniformity was 9.88%, and the C v of total uniformity was 14.17%. The developed fertilization device and control system can meet the needs of different fertilization amounts, types, and methods for facility crop cultivation at different stages. This study’s results can provide a theoretical basis and technical support for designing and optimizing multifunctional precision variable-rate fertilization devices and control systems.

Suggested Citation

  • Qiuwei Bai & Hongpin Luo & Xinglan Fu & Xin Zhang & Guanglin Li, 2023. "Design and Experiment of Lightweight Dual-Mode Automatic Variable-Rate Fertilization Device and Control System," Agriculture, MDPI, vol. 13(6), pages 1-20, May.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:6:p:1138-:d:1158243
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    References listed on IDEAS

    as
    1. Yugong Dang & Gang Yang & Jun Wang & Zhigang Zhou & Zhidong Xu, 2022. "A Decision-Making Capability Optimization Scheme of Control Combination and PID Controller Parameters for Bivariate Fertilizer Applicator Improved by Using EDEM," Agriculture, MDPI, vol. 12(12), pages 1-23, December.
    2. Zhuohuai Guan & Senlin Mu & Tao Jiang & Haitong Li & Min Zhang & Chongyou Wu & Mei Jin, 2022. "Development of Centrifugal Disc Spreader on Tracked Combine Harvester for Rape Undersowing Rice Based on DEM," Agriculture, MDPI, vol. 12(4), pages 1-18, April.
    3. Qian, Long & Lu, Hua & Gao, Qiang & Lu, Hualiang, 2022. "Household-owned farm machinery vs. outsourced machinery services: The impact of agricultural mechanization on the land leasing behavior of relatively large-scale farmers in China," Land Use Policy, Elsevier, vol. 115(C).
    4. K. M. Atikur Rahman & Dunfu Zhang, 2018. "Effects of Fertilizer Broadcasting on the Excessive Use of Inorganic Fertilizers and Environmental Sustainability," Sustainability, MDPI, vol. 10(3), pages 1-15, March.
    5. Haixia Wu & Yan Ge, 2019. "Excessive Application of Fertilizer, Agricultural Non-Point Source Pollution, and Farmers’ Policy Choice," Sustainability, MDPI, vol. 11(4), pages 1-17, February.
    6. Xiuli Zhang & Yikun Pei & Yong Chen & Qianglong Song & Peilin Zhou & Yueqing Xia & Xiaochan Liu, 2022. "The Design and Experiment of Vertical Variable Cavity Base Fertilizer Fertilizing Apparatus," Agriculture, MDPI, vol. 12(11), pages 1-15, October.
    7. Haoran Bu & Siyao Yu & Wancheng Dong & Lixin Zhang & Yuanqing Xia, 2022. "Analysis of the Effect of Bivariate Fertilizer Discharger Control Sequence on Fertilizer Discharge Performance," Agriculture, MDPI, vol. 12(11), pages 1-15, November.
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