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Particle Fertilizer Flow Microwave Signal Measurement Based on Variational Mode Decomposition and Wavelet Analysis
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Liwei YANG1, Yuchen ZHANG1, Zekai ZHAN2, Ziyang JIN1, Yonglin PENG1, Yufei ZHU2
Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12) : 623 - 633
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Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12): 623-633
• Agricultural Informatization Engineering •
Particle Fertilizer Flow Microwave Signal Measurement Based on Variational Mode Decomposition and Wavelet Analysis
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Liwei YANG1, Yuchen ZHANG1, Zekai ZHAN2, Ziyang JIN1, Yonglin PENG1, Yufei ZHU2
Affiliations
  • 1.Key Laboratory of Smart Agriculture System Integration, Ministry of Education, China Agricultural University, Beijing 100083, China
  • 2.College of Engineering, China Agricultural University, Beijing 100083, China
Published: 2025-12-25 doi: 10.6041/j.issn.1000-1298.2025.12.057
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The accurate measurement of granular fertilizer mass flow rate presents a significant challenge for achieving precision fertilization. Due to the complex dynamics of granular flows, traditional measurement methods often struggle to handle the resulting signals, which are typically characterized by significant noise and non-stationarity. To address this issue, a novel pre-processing algorithm for granular fertilizer flow signals acquired by a microwave sensor was proposed. Initially, a model of the fertilizer discharge pipeline was constructed and simulation experiments were conducted. These simulations determined that under conditions of a 400 mm pipeline length and 30 mm diameter, the impact of particle collisions within the pipeline on velocity was minimized. Based on these simulation results, a signal acquisition platform for granular fertilizer mass flow was established. Through analysis of the acquired flow signals, a hybrid denoising algorithm combining variational mode decomposition (VMD) and discrete wavelet transform (DWT) was innovatively proposed. Experimental results demonstrated that after processing with this algorithm, the signal-to-noise ratio of the signal was increased by 7.375 7 dB, and the root mean square error was decreased by 57%. The algorithm effectively separated the noise component from the signal, thereby significantly improving the measurement accuracy of the granular fertilizer mass flow rate. Finally, real-world vehicle tests were conducted. The processed flow signals exhibited a maximum relative error of 13.84% and a minimum relative error of 1.36%. The results confirmed that the experimental platform developed and the proposed denoising algorithm provided reliable technical support for precision fertilization.

precision fertilization  /  granular fertilizer  /  flow rate measurement  /  microwave sensor  /  variational modal decomposition  /  wavelet denoising
杨立伟, 张雨琛, 詹泽凯, 晋子杨, 彭永霖, 朱羽飞. 基于变分模态分解联合小波分析的颗粒肥流量微波信号测量研究. 农业机械学报, 2025 , 56 (12) : 623 -633 . DOI: 10.6041/j.issn.1000-1298.2025.12.057
Liwei YANG, Yuchen ZHANG, Zekai ZHAN, Ziyang JIN, Yonglin PENG, Yufei ZHU. Particle Fertilizer Flow Microwave Signal Measurement Based on Variational Mode Decomposition and Wavelet Analysis[J]. Transactions of the Chinese Society for Agricultural Machinery, 2025 , 56 (12) : 623 -633 . DOI: 10.6041/j.issn.1000-1298.2025.12.057
Year 2025 volume 56 Issue 12
180
77
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Article Info
doi: 10.6041/j.issn.1000-1298.2025.12.057
  • Receive Date:2024-10-20
  • Online Date:2026-09-30
  • Published:2025-12-25
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  • Received:2024-10-20
  • Revised:2025-01-18
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Affiliations
    1.Key Laboratory of Smart Agriculture System Integration, Ministry of Education, China Agricultural University, Beijing 100083, China
    2.College of Engineering, China Agricultural University, Beijing 100083, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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