Huang Zhan, Wang Changling, Wongsuk Supakorn, Qi Peng, Liu Limin, Qiao Baiyu, Zhong Ling, He Xiongkui
College of Science, China Agricultural University, Beijing, P. R. China.
College of Agricultural Unmanned System, China Agricultural University, Beijing, P. R. China.
Pest Manag Sci. 2023 Nov;79(11):4664-4678. doi: 10.1002/ps.7666. Epub 2023 Aug 7.
Unmanned Aerial Spraying System (UASS) has emerged as an advanced, precise, and efficient tool for pesticide application in numerous nations in recent years. Despite this, there is a noticeable gap in research advocating viable, quantifiable methodologies for application parameter optimization. This investigation was primarily oriented toward identifying optimal UASS application parameters. It did so by exploring the effects of varying spray volumes and flight parameters on spray performance in a comprehensive manner, and by assessing the biological potency of aerial insecticide application against Rice Planthopper (RPH) using the optimal parameters, aided by two types of nozzles in rice field settings.
Increased spray volume increased the spray deposition. Working height impacted the distribution of spray deposition, with a higher working height leading to superior distribution uniformity. Both spray volume and working height were observed to influence spray deposition and its percentage in tandem. Upon factor analysis, the optimal parameters determined for rice at the heading stage were an application volume of 15.0 L·ha , a working height of 2.0 m, and a driving speed of 5.0 m·s . Under these parameters, the air-induction twin flat fan nozzle IDKT120-015 demonstrated approximately 5% higher spray deposition than the flat fan nozzle SX11001VS, albeit with inferior distribution uniformity. Both nozzle types achieved over 93.0% control efficacy against RPH using triflumezopyrim, persisting for up to 40 days post-treatment.
This study furnishes invaluable insights and data for controlling rice planthopper via UASS pesticide application, contributing to the progress of modern intensive and sustainable agriculture. © 2023 Society of Chemical Industry.
近年来,无人机喷雾系统(UASS)已成为许多国家用于农药施用的一种先进、精准且高效的工具。尽管如此,在倡导可行的、可量化的应用参数优化方法的研究方面仍存在明显差距。本研究主要旨在确定无人机喷雾系统的最佳应用参数。它通过全面探索不同喷雾量和飞行参数对喷雾性能的影响,并在稻田环境中借助两种类型的喷头,使用最佳参数评估空中施用杀虫剂对稻飞虱(RPH)的生物效力来实现这一目标。
喷雾量增加会提高喷雾沉积量。作业高度影响喷雾沉积的分布,作业高度越高,分布均匀性越好。观察到喷雾量和作业高度都会同时影响喷雾沉积及其百分比。通过因子分析,确定抽穗期水稻的最佳参数为施用量15.0 L·ha 、作业高度2.0 m和行驶速度5.0 m·s 。在这些参数下,空气诱导双扁平扇形喷头IDKT120 - 015的喷雾沉积量比扁平扇形喷头SX11001VS高出约5%,尽管分布均匀性较差。两种喷头使用三氟苯嘧啶对稻飞虱的防治效果均超过93.0%,处理后药效可持续长达40天。
本研究为通过无人机喷雾系统施用农药防治稻飞虱提供了宝贵的见解和数据,有助于现代集约型可持续农业的发展。© 2023化学工业协会。