无人机喷洒作业下喷雾佐剂对荔枝树雾滴沉积特性的影响

Agronomy Pub Date : 2024-09-18 DOI:10.3390/agronomy14092125
Xiaonan Wang, Yanping Liu, Shilin Wang, Siwei Wang
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引用次数: 0

摘要

近十年来,用于植物保护的无人飞行器(UAV)作为一种新的农药施用方法在全球迅速发展,尤其是在中国和其他亚洲国家。为了提高无人机施药的沉降质量,在农药溶液中添加适当类型的喷雾佐剂是促进雾滴沉降和控制药效的最有效方法之一。目前,有关无人机喷雾佐剂的研究主要基于雾滴漂移和实验室测试。关于喷雾佐剂的理化特性以及对液滴沉积特性影响的研究还很少。为探讨麦飞、北大荒、G-2801 和 Agrospred 910 四种不同喷雾佐剂的特性以及喷雾佐剂在荔枝叶片上的沉积特性,采用自动表面张力仪、接触角测量仪、紫外可见分光光度计和大疆 AGRAS T30 植保无人机,测量了无人机喷洒作业下荔枝叶片的表面张力、接触角和液滴沉积特性。结果表明,添加喷雾佐剂可显著降低溶液的表面张力。与对照溶液相比,添加喷雾添加剂后溶液的表面张力值降低了 53.1-68.9%。其中,Agrospred 910 喷雾助剂对降低溶液表面张力的效果最好。对照溶液在荔枝叶片上的接触角从 80.15°到 72.76°不等。随着时间的增加,喷雾佐剂溶液的接触角逐渐减小,其中 Agrospred 910 喷雾佐剂的效果最好,液滴落在荔枝叶片上 60 s 后,接触角从 40.44° 减小到 20.23°。不同喷雾溶液的 Dv0.5 在 97.3 至 117.8 μm 之间,属于细微或极细微液滴,且佐剂溶液的 Dv0.5 显著大于对照溶液的 Dv0.5。佐剂溶液的 RS 值非常接近,在 0.92 至 0.96 之间,均明显大于对照溶液的结果(0.57)。与对照溶液的沉积量相比,麦飞、北大荒和 G-2801 溶液明显增加了喷雾沉积量,总沉积量分别为 0.776、0.705 和 0.721 μL/cm2,均大于对照溶液的总沉积量 0.645 μL/cm2。添加槽混佐剂可有效提高喷雾沉积的均匀性,佐剂溶液的平均 CV 值均低于 96.86%。总体而言,麦飞在增加喷雾沉积和促进渗透方面表现最好,其次是北大通和 G-2801。同时,该试验也可为提高无人机农药应用的利用率提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of Spray Adjuvants on Droplet Deposition Characteristics in Litchi Trees under UAV Spraying Operations
In the last decade, unmanned aerial vehicles (UAVs) for plant protection have rapidly developed worldwide as a new method for pesticide application, especially in China and other Asian countries. To improve the deposition quality in UAV applications, adding appropriate types of spray adjuvants into pesticide solutions is one of the most effective ways to facilitate droplet deposition and control efficacy. At present, research on spray adjuvants for UAVs are mainly based on droplet drift and laboratory tests. Few studies have been conducted on the physicochemical properties of spray adjuvants and the effects of droplet deposition characteristics. To explore the properties of four different kinds of spray adjuvants (Mai Fei, Bei Datong, G-2801, and Agrospred 910) and the deposition characteristics of spray adjuvants on litchi leaves, an automatic surface tension meter, a contact angle measuring device, an ultraviolet visible spectrophotometer, and a DJI AGRAS T30 plant protection UAV was used to measure the surface tension, contact angle, and droplet deposition characteristics on litchi under UAV spraying operations. The results showed that the addition of spray adjuvants could significantly reduce the surface tension of the solution. The surface tension value of the solution after adding the spray additives was reduced by 53.1–68.9% compared with the control solution. Among them, the Agrospred 910 spray adjuvant had the best effect on reducing the surface tension of the solution. The contact angle of the control solution on the litchi leaves varied from 80.15° to 72.76°. With the increase in time, the contact angle of the spray adjuvant solution gradually decreased, the Agrospred 910 spray adjuvant had the best effect, and the contact angle decreased from 40.44° to 20.23° after the droplets fell on the litchi leaves for 60 s. The adjuvant solutions increased the droplet size, but the uniformity of the droplet size decreased. The Dv0.5 of different spray solutions ranged from 97.3 to 117.8 μm, which belonged to the fine or very fine droplets, and the Dv0.5 of adjuvants solutions were significantly greater than that of the control solution. The RSs of adjuvant solutions were very similar and ranged from 0.92 to 0.96, all of which were significantly greater than the result of the control solution (0.57). Compared with the deposition of the control solution, the Mai Fei, Bei Datong, and G-2801 solutions clearly increased spray deposition, with total depositions of 0.776, 0.705, and 0.721 μL/cm2, which are all greater than the total deposition of the control solution of 0.645 μL/cm2. The addition of tank-mixed adjuvants could effectively increase the uniformity of the spray deposition, and all the average CVs of adjuvant solutions were lower than 96.86%. On the whole, Mai Fei performed best in increasing the spray deposition and promoting penetration, followed by Bei Datong and G-2801. Meanwhile, the test can also provide a reference for improving the utilization rate of UAV pesticide applications.
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