Allmendinger Alicia, Spaeth Michael, Saile Marcus, Peteinatos Gerassimos G, Gerhards Roland
Department of Weed Science, Institute for Phytomedicine, University of Hohenheim, 70599 Stuttgart, Germany.
ELGO-DIMITRA, Leof Dimokratias 61, Agii Anargiri, 135 61 Athens, Greece.
Plants (Basel). 2024 Aug 5;13(15):2164. doi: 10.3390/plants13152164.
Spot spraying can significantly reduce herbicide use while maintaining equal weed control efficacy as a broadcast application of herbicides. Several online spot-spraying systems have been developed, with sensors mounted on the sprayer or by recording the RTK-GNSS position of each crop seed. In this study, spot spraying was realized offline based on georeferenced unmanned aerial vehicle (UAV) images with high spatial resolution. Studies were conducted in four maize fields in Southwestern Germany in 2023. A randomized complete block design was used with seven treatments containing broadcast and spot applications of pre-emergence and post-emergence herbicides. Post-emergence herbicides were applied at 2-4-leaf and at 6-8-leaf stages of maize. Weed and crop density, weed control efficacy (WCE), crop losses, accuracy of weed classification in UAV images, herbicide savings and maize yield were measured and analyzed. On average, 94% of all weed plants were correctly identified in the UAV images with the automatic classifier. Spot-spraying achieved up to 86% WCE, which was equal to the broadcast herbicide treatment. Early spot spraying saved 47% of herbicides compared to the broadcast herbicide application. Maize yields in the spot-spraying plots were equal to the broadcast herbicide application plots. This study demonstrates that spot-spraying based on UAV weed maps is feasible and provides a significant reduction in herbicide use.
定点喷雾可以显著减少除草剂的使用量,同时保持与除草剂全田施用相同的杂草防除效果。已经开发了几种在线定点喷雾系统,传感器安装在喷雾器上,或者通过记录每粒作物种子的实时动态全球导航卫星系统(RTK-GNSS)位置来实现。在本研究中,基于具有高空间分辨率的地理参考无人机(UAV)图像实现了离线定点喷雾。2023年在德国西南部的四个玉米田进行了研究。采用随机完全区组设计,设置了七个处理,包括苗前和苗后除草剂的全田施用和定点施用。苗后除草剂在玉米的2-4叶期和6-8叶期施用。对杂草和作物密度、杂草防除效果(WCE)、作物损失、无人机图像中杂草分类的准确性、除草剂节省量和玉米产量进行了测量和分析。使用自动分类器在无人机图像中平均能正确识别94%的杂草植株。定点喷雾的杂草防除效果高达86%,与全田施用除草剂的处理效果相当。与全田施用除草剂相比,早期定点喷雾节省了47%的除草剂。定点喷雾地块的玉米产量与全田施用除草剂地块的产量相当。本研究表明,基于无人机杂草地图的定点喷雾是可行的,并且能显著减少除草剂的使用量。