The Effect of Airflow-Assisted Parameters on Droplet Deposition on Soybean Leaves at the V7 Growth Stage
In agricultural production, the underside of crop leaves and the middle-lower canopy are key areas where pests and diseases typically develop at early stages. Increasing droplet deposition in these critical regions is essential for improving pesticide efficacy and crop yield. This study aims to opti...
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MDPI AG
2025-01-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/15/1/141 |
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| author | Yuefu Guo Hao Wang Wenfeng Sun Yongli Sun Rui Xing Kaige Zhang Xiaocheng Fang Bin Sui Jiehao Xu |
| author_facet | Yuefu Guo Hao Wang Wenfeng Sun Yongli Sun Rui Xing Kaige Zhang Xiaocheng Fang Bin Sui Jiehao Xu |
| author_sort | Yuefu Guo |
| collection | DOAJ |
| description | In agricultural production, the underside of crop leaves and the middle-lower canopy are key areas where pests and diseases typically develop at early stages. Increasing droplet deposition in these critical regions is essential for improving pesticide efficacy and crop yield. This study aims to optimize airflow-assisted parameters to enhance spray operation quality. By extracting the physical characteristics of soybean leaves at the V7 growth stage and conducting theoretical analysis, the study explored the factors influencing leaf orientation and droplet deposition, as well as the coupling relationship between these two aspects. A one-way fluid–structure coupling model was established using COMSOL software 6.1 to simulate the interaction between airflow and soybean leaves. The simulation results showed that airflow caused 71.1% of upper leaves, 66.7% of middle leaves, and 43.3% of lower leaves to have a flipping angle greater than 10°, with most flipped leaves (61.9%) concentrated on the windward side. Using droplet deposition on the middle-lower canopy and the underside of leaves as evaluation indices, a numerical simulation orthogonal experiment was conducted. The results indicated that the optimal operational parameters were an initial airflow speed of 20 m/s, an outlet-to-canopy distance of 0.45 m, and a forward airflow deflection angle of 32°. This optimal parameter combination improved droplet deposition. Field experiments confirmed these results, showing that compared to the spraying without optimization, droplet deposition on the lower and middle canopy and the underside of the leaves increased by 2.1 times and 2.3 times, respectively. |
| format | Article |
| id | doaj-art-5ec508c96ba84446bb3db11bd74d7c22 |
| institution | Kabale University |
| issn | 2073-4395 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
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| series | Agronomy |
| spelling | doaj-art-5ec508c96ba84446bb3db11bd74d7c222025-01-24T13:16:54ZengMDPI AGAgronomy2073-43952025-01-0115114110.3390/agronomy15010141The Effect of Airflow-Assisted Parameters on Droplet Deposition on Soybean Leaves at the V7 Growth StageYuefu Guo0Hao Wang1Wenfeng Sun2Yongli Sun3Rui Xing4Kaige Zhang5Xiaocheng Fang6Bin Sui7Jiehao Xu8College of Engineering, Northeast Agricultural University Harbin, Harbin 150030, ChinaCollege of Engineering, Northeast Agricultural University Harbin, Harbin 150030, ChinaCollege of Engineering, Northeast Agricultural University Harbin, Harbin 150030, ChinaCollege of Engineering, Northeast Agricultural University Harbin, Harbin 150030, ChinaCollege of Engineering, Northeast Agricultural University Harbin, Harbin 150030, ChinaCollege of Engineering, Northeast Agricultural University Harbin, Harbin 150030, ChinaCollege of Engineering, Northeast Agricultural University Harbin, Harbin 150030, ChinaCollege of Engineering, Northeast Agricultural University Harbin, Harbin 150030, ChinaCollege of Engineering, Northeast Agricultural University Harbin, Harbin 150030, ChinaIn agricultural production, the underside of crop leaves and the middle-lower canopy are key areas where pests and diseases typically develop at early stages. Increasing droplet deposition in these critical regions is essential for improving pesticide efficacy and crop yield. This study aims to optimize airflow-assisted parameters to enhance spray operation quality. By extracting the physical characteristics of soybean leaves at the V7 growth stage and conducting theoretical analysis, the study explored the factors influencing leaf orientation and droplet deposition, as well as the coupling relationship between these two aspects. A one-way fluid–structure coupling model was established using COMSOL software 6.1 to simulate the interaction between airflow and soybean leaves. The simulation results showed that airflow caused 71.1% of upper leaves, 66.7% of middle leaves, and 43.3% of lower leaves to have a flipping angle greater than 10°, with most flipped leaves (61.9%) concentrated on the windward side. Using droplet deposition on the middle-lower canopy and the underside of leaves as evaluation indices, a numerical simulation orthogonal experiment was conducted. The results indicated that the optimal operational parameters were an initial airflow speed of 20 m/s, an outlet-to-canopy distance of 0.45 m, and a forward airflow deflection angle of 32°. This optimal parameter combination improved droplet deposition. Field experiments confirmed these results, showing that compared to the spraying without optimization, droplet deposition on the lower and middle canopy and the underside of the leaves increased by 2.1 times and 2.3 times, respectively.https://www.mdpi.com/2073-4395/15/1/141soybeanair-assisted sprayingleaf orientationdroplet depositioncomputational fluid dynamics (CFD)field tests |
| spellingShingle | Yuefu Guo Hao Wang Wenfeng Sun Yongli Sun Rui Xing Kaige Zhang Xiaocheng Fang Bin Sui Jiehao Xu The Effect of Airflow-Assisted Parameters on Droplet Deposition on Soybean Leaves at the V7 Growth Stage Agronomy soybean air-assisted spraying leaf orientation droplet deposition computational fluid dynamics (CFD) field tests |
| title | The Effect of Airflow-Assisted Parameters on Droplet Deposition on Soybean Leaves at the V7 Growth Stage |
| title_full | The Effect of Airflow-Assisted Parameters on Droplet Deposition on Soybean Leaves at the V7 Growth Stage |
| title_fullStr | The Effect of Airflow-Assisted Parameters on Droplet Deposition on Soybean Leaves at the V7 Growth Stage |
| title_full_unstemmed | The Effect of Airflow-Assisted Parameters on Droplet Deposition on Soybean Leaves at the V7 Growth Stage |
| title_short | The Effect of Airflow-Assisted Parameters on Droplet Deposition on Soybean Leaves at the V7 Growth Stage |
| title_sort | effect of airflow assisted parameters on droplet deposition on soybean leaves at the v7 growth stage |
| topic | soybean air-assisted spraying leaf orientation droplet deposition computational fluid dynamics (CFD) field tests |
| url | https://www.mdpi.com/2073-4395/15/1/141 |
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