Towards Optimizing Garlic Combine Harvester Design with Logistic Regression
In this paper, a garlic combine harvester machine was designed and some influential parameters of the machine were optimized. The working parts of the machine mainly consisted of a reel, a reciprocating cutter, a seedling conveyor, a profiling depth-stop device, a digging shovel and a lifting chain....
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| Format: | Article |
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MDPI AG
2022-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/12/6015 |
| _version_ | 1797490265864273920 |
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| author | Zhengbo Zhu Wei Li Fujun Wen Liangzhe Chen Yan Xu |
| author_facet | Zhengbo Zhu Wei Li Fujun Wen Liangzhe Chen Yan Xu |
| author_sort | Zhengbo Zhu |
| collection | DOAJ |
| description | In this paper, a garlic combine harvester machine was designed and some influential parameters of the machine were optimized. The working parts of the machine mainly consisted of a reel, a reciprocating cutter, a seedling conveyor, a profiling depth-stop device, a digging shovel and a lifting chain. Each part had unique structural parameters and motion parameters, as different parameters would deeply affect the performance of the machine. A logistical regression algorithm was utilized to analyze the working speed of the reel, the digging depth of the reciprocating cutter and the lifting speed of the lifting chain. This paper also discussed the influence of these three functions on the damage rate based on the collected data when harvesting garlic. Specifically, each function was tested 60 times for collecting data. The experimental results showed that the order of influence of the three functions on the damage rate was the digging depth, working speed and lifting speed. Moreover, the lowest damage rate was 0.18% when the digging depth was 100 mm, the working speed was 1.05 km·h<sup>−1</sup> and the lifting speed was 0.69 m·s<sup>−1</sup>. A validation test was taken out based on the three functions of the analysis results, and the damage rate was 0.83%, which was close to the analysis results, and proved that the analysis results were accurate and meaningful. The research results are beneficial to the development and application of the garlic combine harvester. |
| first_indexed | 2024-03-10T00:30:30Z |
| format | Article |
| id | doaj.art-6964bf2373564f079a20ff3f668bbc2a |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T00:30:30Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-6964bf2373564f079a20ff3f668bbc2a2023-11-23T15:26:21ZengMDPI AGApplied Sciences2076-34172022-06-011212601510.3390/app12126015Towards Optimizing Garlic Combine Harvester Design with Logistic RegressionZhengbo Zhu0Wei Li1Fujun Wen2Liangzhe Chen3Yan Xu4Jiangsu Engineering Center for Modern Agricultural Machinery and Agronomy Technology, School of Mechanical Engineering, Yangzhou University, Yangzhou 225012, ChinaJiangsu Key Laboratory of Media Design and Software Technology, Science Center for Future Foods, School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, ChinaIntelligent Manufacturing College, Guangzhou Panyu Polytechnic, Guangzhou 510620, ChinaJiangsu Key Laboratory of Media Design and Software Technology, Science Center for Future Foods, School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, ChinaDepartment of Automotive Engineering, Guangdong Polytechnic of Industry and Commerce, Guangzhou 510510, ChinaIn this paper, a garlic combine harvester machine was designed and some influential parameters of the machine were optimized. The working parts of the machine mainly consisted of a reel, a reciprocating cutter, a seedling conveyor, a profiling depth-stop device, a digging shovel and a lifting chain. Each part had unique structural parameters and motion parameters, as different parameters would deeply affect the performance of the machine. A logistical regression algorithm was utilized to analyze the working speed of the reel, the digging depth of the reciprocating cutter and the lifting speed of the lifting chain. This paper also discussed the influence of these three functions on the damage rate based on the collected data when harvesting garlic. Specifically, each function was tested 60 times for collecting data. The experimental results showed that the order of influence of the three functions on the damage rate was the digging depth, working speed and lifting speed. Moreover, the lowest damage rate was 0.18% when the digging depth was 100 mm, the working speed was 1.05 km·h<sup>−1</sup> and the lifting speed was 0.69 m·s<sup>−1</sup>. A validation test was taken out based on the three functions of the analysis results, and the damage rate was 0.83%, which was close to the analysis results, and proved that the analysis results were accurate and meaningful. The research results are beneficial to the development and application of the garlic combine harvester.https://www.mdpi.com/2076-3417/12/12/6015cropsdata analysisgarlicharvesterparameter optimization |
| spellingShingle | Zhengbo Zhu Wei Li Fujun Wen Liangzhe Chen Yan Xu Towards Optimizing Garlic Combine Harvester Design with Logistic Regression Applied Sciences crops data analysis garlic harvester parameter optimization |
| title | Towards Optimizing Garlic Combine Harvester Design with Logistic Regression |
| title_full | Towards Optimizing Garlic Combine Harvester Design with Logistic Regression |
| title_fullStr | Towards Optimizing Garlic Combine Harvester Design with Logistic Regression |
| title_full_unstemmed | Towards Optimizing Garlic Combine Harvester Design with Logistic Regression |
| title_short | Towards Optimizing Garlic Combine Harvester Design with Logistic Regression |
| title_sort | towards optimizing garlic combine harvester design with logistic regression |
| topic | crops data analysis garlic harvester parameter optimization |
| url | https://www.mdpi.com/2076-3417/12/12/6015 |
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