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IECE Transactions on Intelligent Systematics, 2024, Volume 1, Issue 2: 91-100

Free Access | Research Article | 29 September 2024
1 Valve Intelligent Equipment Engineering Research Center, Department of mechanical and electrical engineering, HeBei Vocational University of Technology and Engineering, Xingtai 054035, China
2 Department of Electrical Engineering, HeBei Vocational University of Technology and Engineering, Xingtai 054035, China
* Corresponding author: Wenyan Chu, email: chuwenyan@xpc.edu.cn
Received: 09 September 2024, Accepted: 26 September 2024, Published: 29 September 2024  

Abstract
Precision plant protection, a crucial facet of precision agriculture, assumes a paramount role throughout diverse stages of agricultural pesticide utilization. It not only furnishes indispensable reference parameters for agricultural production but also minimizes the employment of pesticides and their environmental footprint. This investigation employs a laser particle size analyzer to gauge the particle size information of the atomization field under assorted conditions, commencing with ground plant protection. The findings reveal that particle size escalates with the ascent of spray pressure and spray angle while diminishing with their augmentation. It proposes that pressure adjustments can optimize atomization outcomes when the deposited atomized droplet size is suboptimal. This study provides a data foundation for pesticide atomization in ground plant protection procedures and presents corrective actions for inadequate sedimentation effects, thereby mitigating the environmental harm associated with agricultural endeavors.

Graphical Abstract
Investigation on the Mechanism of Nebulized Droplet Particle Size Impact in Precision Plant Protection

Keywords
Atomization parameters
Atomization parameters
particle size
precision plant protection
weight

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APA Style
Ma, H., Tang, J., Lv, H., Chu, W., & Sun, S. (2024). Investigation on the Mechanism of Nebulized Droplet Particle Size Impact in Precision Plant Protection. IECE Transactions on Intelligent Systematics, 1(2), 91–100. https://doi.org/10.62762/TIS.2024.307219

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