Droplet Penetration Model Based on Canopy Porosity for Spraying Applications

Yu Ru (), Chenming Hu, Xuyang Chen, Fengbo Yang, Chao Zhang, Jianping Li and Shuping Fang
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Yu Ru: College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China
Chenming Hu: College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China
Xuyang Chen: College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China
Fengbo Yang: College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China
Chao Zhang: College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China
Jianping Li: College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China
Shuping Fang: College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China

Agriculture, 2023, vol. 13, issue 2, 1-14

Abstract: Analysing the penetration and droplet deposition characteristics in the canopy of fruit trees is critical for optimising the operational parameters of air-assisted spraying equipment, achieving precise application of chemicals, and improving the effectiveness of fruit tree pest and disease control. We used a mobile LIDAR system to detect the tree canopy characteristics and optical porosity and conduct wind tunnel experiments to investigate the interaction between the tree canopy, the airflow field, and the droplet penetration ratio in the canopy of fruit trees. The results show that the relative wind velocity decreases rapidly during canopy penetration, and that the minimum value occurs at the back of the canopy. The smaller the optical porosity, the greater the reduction in wind velocity is. The quadratic exponential regression model had the highest coefficient of determination (R 2 ) (0.9672) and the lowest root mean square error (RMSE) (5.56%). This paper provides information on optimising the spraying parameters, improving the pesticide utilisation rate, and selecting the optimum spraying conditions and application parameters.

Keywords: LIDAR; porosity; wind tunnel tests; air-assisted spraying; droplet penetration (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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