Impact-Type Sunflower Yield Sensor Signal Denoising Method Based on CEEMD-WTD
During the crop harvesting process, it is important to obtain the crop yield quickly, accurately and in real time to accelerate the development of smart agriculture. This paper investigated a denoising method applicable to the impact-type sunflower yield sensor signal under the influence of complex...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/13/1/166 |
| _version_ | 1797447311461187584 |
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| author | Shuai Wang Xiaodong Zhao Wenhang Liu Jianqiang Du Dongxu Zhao Zhihong Yu |
| author_facet | Shuai Wang Xiaodong Zhao Wenhang Liu Jianqiang Du Dongxu Zhao Zhihong Yu |
| author_sort | Shuai Wang |
| collection | DOAJ |
| description | During the crop harvesting process, it is important to obtain the crop yield quickly, accurately and in real time to accelerate the development of smart agriculture. This paper investigated a denoising method applicable to the impact-type sunflower yield sensor signal under the influence of complex noise background in the pneumatic seed delivery structure for a sunflower combine harvester. A signal processing method combining complementary ensemble empirical mode decomposition (CEEMD) and wavelet threshold denoising (WTD) based on an adaptive decomposition capability was proposed by analyzing the non-smoothness of the signal with the impact-type sunflower yield sensor signal in sunflower fields. CEEMD was used to decompose the sunflower seed impact analog signal and field impact-type sunflower yield sensor signal adaptively, and the high frequency components were processed by WTD. Finally the de-noised signal was obtained by reconstruction. An evaluation objective function of the denoising ability of the algorithm based on signal-noise ratio, root mean square error, smoothness and waveform similarity indexes with different weights was also constructed. The results showed that the evaluation objective functions of the simulated and measured signals after denoising by the CEEMD-WTD method are 1.9719 and 4.5318, respectively, which are better than the single denoising methods of EMD (1.5096 and 4.0012), EEMD (1.8248 and 4.0724), CEEMD (1.9516 and 4.3384), and WTD (1.8737 and 4.5294). This method provides a new idea for signal denoising of the impact-type sunflower yield sensor installed in the pneumatic seed delivery structure, and further provides theoretical support and technical references for the development of sunflower high-precision yield measurements in smart agriculture. |
| first_indexed | 2024-03-09T13:53:04Z |
| format | Article |
| id | doaj.art-73722ea43b6e4df89378dde412fbe073 |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-09T13:53:04Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-73722ea43b6e4df89378dde412fbe0732023-11-30T20:46:43ZengMDPI AGAgriculture2077-04722023-01-0113116610.3390/agriculture13010166Impact-Type Sunflower Yield Sensor Signal Denoising Method Based on CEEMD-WTDShuai Wang0Xiaodong Zhao1Wenhang Liu2Jianqiang Du3Dongxu Zhao4Zhihong Yu5College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, ChinaInner Mongolia Electric Power (Group) Co., Ltd. Xilingol Power Supply Company, Xilinhot 026000, ChinaCollege of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, ChinaCollege of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, ChinaCollege of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, ChinaCollege of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, ChinaDuring the crop harvesting process, it is important to obtain the crop yield quickly, accurately and in real time to accelerate the development of smart agriculture. This paper investigated a denoising method applicable to the impact-type sunflower yield sensor signal under the influence of complex noise background in the pneumatic seed delivery structure for a sunflower combine harvester. A signal processing method combining complementary ensemble empirical mode decomposition (CEEMD) and wavelet threshold denoising (WTD) based on an adaptive decomposition capability was proposed by analyzing the non-smoothness of the signal with the impact-type sunflower yield sensor signal in sunflower fields. CEEMD was used to decompose the sunflower seed impact analog signal and field impact-type sunflower yield sensor signal adaptively, and the high frequency components were processed by WTD. Finally the de-noised signal was obtained by reconstruction. An evaluation objective function of the denoising ability of the algorithm based on signal-noise ratio, root mean square error, smoothness and waveform similarity indexes with different weights was also constructed. The results showed that the evaluation objective functions of the simulated and measured signals after denoising by the CEEMD-WTD method are 1.9719 and 4.5318, respectively, which are better than the single denoising methods of EMD (1.5096 and 4.0012), EEMD (1.8248 and 4.0724), CEEMD (1.9516 and 4.3384), and WTD (1.8737 and 4.5294). This method provides a new idea for signal denoising of the impact-type sunflower yield sensor installed in the pneumatic seed delivery structure, and further provides theoretical support and technical references for the development of sunflower high-precision yield measurements in smart agriculture.https://www.mdpi.com/2077-0472/13/1/166smart agriculturesunflowerpneumatic conveyingimpact signalCEEMDWTD |
| spellingShingle | Shuai Wang Xiaodong Zhao Wenhang Liu Jianqiang Du Dongxu Zhao Zhihong Yu Impact-Type Sunflower Yield Sensor Signal Denoising Method Based on CEEMD-WTD Agriculture smart agriculture sunflower pneumatic conveying impact signal CEEMD WTD |
| title | Impact-Type Sunflower Yield Sensor Signal Denoising Method Based on CEEMD-WTD |
| title_full | Impact-Type Sunflower Yield Sensor Signal Denoising Method Based on CEEMD-WTD |
| title_fullStr | Impact-Type Sunflower Yield Sensor Signal Denoising Method Based on CEEMD-WTD |
| title_full_unstemmed | Impact-Type Sunflower Yield Sensor Signal Denoising Method Based on CEEMD-WTD |
| title_short | Impact-Type Sunflower Yield Sensor Signal Denoising Method Based on CEEMD-WTD |
| title_sort | impact type sunflower yield sensor signal denoising method based on ceemd wtd |
| topic | smart agriculture sunflower pneumatic conveying impact signal CEEMD WTD |
| url | https://www.mdpi.com/2077-0472/13/1/166 |
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