How important is UAVs RTK accuracy for the identification of certain vine diseases?

F. Zottele, Paolo Crocetta, V. Baiocchi
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Abstract

The recent deployment of GNSS-RTK positioning on remotely piloted vehicles has increased real-time positioning accuracy by almost three orders of magnitude. This not only provides a significant geometric improvement but, in practice, makes possible some applications that were simply not possible before. For example, positioning crops with centimetre accuracy makes it possible to distinguish a single plant and to detect or treat that very plant without any possibility of misunderstanding. This is obviously not possible with ‘traditional’ drones that work in ‘point positioning’ with indeterminacies of even tens of metres. In this paper we will illustrate how the possibilities of RTK can be applied to a specific vinepathology. The symptoms of the flavescence dorée and bois noir are grouped into the so-called Grapevine Yellows (GY). These diseases are affecting the viticultural regions worldwide and all varieties and rootstocks seem susceptible but with varying degrees of severity. Typical symptoms include discolouration and necrosis of leaf veins and leaf blades, downward curling of leaves, lack or incomplete lignification of shoots, stunting and necrosis of shoots, abortion of inflorescences and shrivelling of berries. The compulsory control plan for the fight of these diseases includes both the use of insecticides and the eradication of the vines. This latter is part of a monitoring plan of the grapevine yellows that aims to identify outbreaks of the disease and its progression and limit the compulsory phytosanitary control only in the truly affected areas. The identification of the GY is a very time-consuming technical work because each vineyard must be visually inspected plant by plant. This type of monitoring is made even more difficult in the case of steeply sloping vineyards and where the vineyard landscape is fragmented. So, we raised the following question: is it possible to use Unmanned Aerial Vehicles (UAVs or drones) to remotely monitor the vines that are difficult to reach and identify the grapevine yellows? We present here the results of our field tests made in Trentino (IT) with different drone models (prosumer and professional) and with different types of image acquisition sensors (RGB and multi-spectral).
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无人机的RTK准确性对某些葡萄病害的识别有多重要?
最近在遥控车辆上部署的GNSS-RTK定位将实时定位精度提高了近三个数量级。这不仅提供了显著的几何改进,而且在实践中,使一些以前根本不可能实现的应用成为可能。例如,以厘米级的精度定位作物,可以区分单一植物,并在不产生任何误解的情况下检测或处理该植物。这显然是不可能的“传统”无人机在“点定位”工作,甚至几十米的不确定性。在本文中,我们将说明RTK的可能性如何应用于特定的葡萄病理。黄变和黑变的症状被归为所谓的葡萄黄。这些疾病正在影响世界各地的葡萄种植区,所有品种和砧木似乎都易受影响,但严重程度不同。典型症状包括叶脉和叶片变色和坏死,叶片向下卷曲,嫩枝缺乏或不完全木质化,嫩枝发育不良和坏死,花序败败和浆果枯萎。防治这些疾病的强制性控制计划包括使用杀虫剂和铲除葡萄藤。后者是葡萄黄监测计划的一部分,该计划旨在确定该疾病的爆发及其进展,并限制仅在真正受影响的地区实施强制性植物检疫控制。由于每个葡萄园都必须一株一株地进行目视检查,因此对最佳葡萄园的鉴定是一项非常耗时的技术工作。在陡峭倾斜的葡萄园和葡萄园景观支离破碎的情况下,这种类型的监测变得更加困难。因此,我们提出了以下问题:是否可以使用无人机(uav或无人机)远程监控难以到达的葡萄藤并识别葡萄黄?我们在这里展示了我们在Trentino (IT)使用不同的无人机模型(专业和专业)以及不同类型的图像采集传感器(RGB和多光谱)进行的现场测试的结果。
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