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采用仿形变量喷雾和超声波检测的低容量精准喷雾用于植物病虫害防治

Low-volume precision spray for plant pest control using profile variable rate spraying and ultrasonic detection.

作者信息

Nan Yulong, Zhang Huichun, Zheng Jiaqiang, Yang Kunqi, Ge Yufeng

机构信息

College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China.

School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng, China.

出版信息

Front Plant Sci. 2023 Jan 10;13:1042769. doi: 10.3389/fpls.2022.1042769. eCollection 2022.

Abstract

Spraying chemical pesticides is one of the important means to control plant pest, and the profile variable spraying is an important technology to achieve precise pesticide application. A profiling tracking control method and an improved algorithm based on CMAC-PID (Cerebellar Model Articulation Controller- Potential Induced Degradation) were proposed in the paper. The test results of the sprayer profiling tracking of the tree canopies showed that the profiling control system using the improved algorithm had significantly better dynamic tracking performance, and the overall mean tracking error was reduced by 35.0%, compared with the traditional CMAC-PID. A spray flow calculation method based on tree canopy volume and leaf area density was proposed. Outdoor testing of the profile variable spraying and conventional spraying was carried out. There was no significant difference between the two spraying methods in terms of droplet coverage, VMD (Volume Median Diameter), NMD (Number Median Diameter), spray quality parameter and relative span coefficient, as well as droplet deposition density. The spray coefficient of variation was reduced by 25.9% and 21.9% inside and outside the tree canopy, respectively. The mean value of the ground deposition coverage of the profile variable spraying and the traditional spray was 13.0% and 33.2%, respectively, indicating a significant impact on the ground droplet deposition coverage by the two spraying methods. The spray flow rate of the profile variable spraying could be decreased by 32.1% compared to the conventional spraying. Profile variable spraying would reduce the cost associated with pesticide use and environmental pollution.

摘要

喷洒化学农药是防治植物病虫害的重要手段之一,仿形变量喷雾是实现精准施药的一项重要技术。本文提出了一种基于小脑模型关节控制器-电势诱导降解(CMAC-PID)的仿形跟踪控制方法及改进算法。对树冠喷雾器仿形跟踪的测试结果表明,采用改进算法的仿形控制系统具有明显更好的动态跟踪性能,与传统CMAC-PID相比,整体平均跟踪误差降低了35.0%。提出了一种基于树冠体积和叶面积密度的喷雾流量计算方法。进行了仿形变量喷雾与常规喷雾的室外试验。两种喷雾方法在雾滴覆盖度、体积中径(VMD)、数量中径(NMD)、喷雾质量参数和相对跨度系数以及雾滴沉积密度方面没有显著差异。树冠内外喷雾变异系数分别降低了25.9%和21.9%。仿形变量喷雾和传统喷雾地面沉积覆盖度的平均值分别为13.0%和33.2%,表明两种喷雾方法对地面雾滴沉积覆盖度有显著影响。与常规喷雾相比,仿形变量喷雾的喷雾流量可降低32.1%。仿形变量喷雾将降低农药使用成本和环境污染。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4595/9871065/8967c984aceb/fpls-13-1042769-g001.jpg

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