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赤眼蜂球无人机投放系统设计与投放作业质量分析

Design of a trichogramma balls UAV delivery system and quality analysis of delivery operation.

作者信息

Xing Hang, Li Mengjie, Qin Yijuan, Fan Gangao, Zhao Yinwei, Lv Jia, Li Jiyu

机构信息

College of Engineering, South China Agricultural University, Guangzhou, China.

出版信息

Front Plant Sci. 2023 Dec 5;14:1247169. doi: 10.3389/fpls.2023.1247169. eCollection 2023.

Abstract

The field boundaries in our country are complex. In attempts to control pests via trichogramma-dominated biological control, the long-term practice of manual trichogramma release has resulted in low control efficiency, thereby impeding sustainable agricultural development. Currently, the novel approach involves utilizing Unmanned Aerial Vehicles (UAVs) for trichogramma balls delivery; however, the system is still in its nascent stages, presenting opportunities for enhancement in terms of stability and accuracy. Furthermore, there is a notable absence of comprehensive operational quality assessment standards. In this study, we establish a stable and accurate trichogramma balls delivery system using a four-axis plant protection UAV and introduce a comprehensive evaluation method for trichogramma balls delivery system. When dealing with fields with complex boundaries, it is beneficial to divide them into rectangular, trapezoidal, and stepped small fields at the boundary and perform operations within these small fields. According to our proposed evaluation method, when only considering the effect of field operations, the most effective boundary division shape is trapezoidal, followed by rectangular. and the worst is stepped. If both field operation effectiveness and the utilization effect of placed trichogramma balls are considered, the optimal shape is trapezoidal, then stepped, with rectangular being the least effective. Consequently, for UAV sub-area operations in complex boundary fields, it is advisable to divide the boundaries into trapezoids wherever possible. Field experiment results indicate that the system's delivery area can reach up to 4158 m²/min and the coverage rate of released trichogramma balls can exceed 97%. The system design methodology and comprehensive operational quality evaluation method proposed in this article provide technical support and scientific basis for the application and promotion of UAV delivery trichogramma balls system. This is conducive to the high-quality development of agriculture.

摘要

我国农田边界情况复杂。在以赤眼蜂为主的生物防治害虫过程中,长期人工释放赤眼蜂的做法导致防治效率低下,阻碍了农业可持续发展。目前,新的方法是利用无人机投放赤眼蜂球;然而,该系统仍处于初期阶段,在稳定性和准确性方面有提升空间。此外,还明显缺乏全面的作业质量评估标准。在本研究中,我们使用四轴植保无人机建立了一个稳定且准确的赤眼蜂球投放系统,并引入了赤眼蜂球投放系统的综合评价方法。在处理边界复杂的农田时,将其在边界处划分为矩形、梯形和阶梯形的小农田并在这些小农田内进行作业是有益的。根据我们提出的评价方法,仅考虑田间作业效果时,最有效的边界划分形状是梯形,其次是矩形,最差的是阶梯形。若同时考虑田间作业效果和投放赤眼蜂球的利用效果,最优形状是梯形,然后是阶梯形,矩形效果最差。因此,对于复杂边界农田的无人机分区作业,建议尽可能将边界划分为梯形。田间试验结果表明,该系统的投放面积可达4158平方米/分钟,释放赤眼蜂球的覆盖率可超过97%。本文提出的系统设计方法和综合作业质量评价方法为无人机投放赤眼蜂球系统的应用推广提供了技术支持和科学依据。这有利于农业的高质量发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/833a/10728877/0f2a61e60444/fpls-14-1247169-g001.jpg

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