ABSTRACT Precision agriculture requires the allocation of the minimum amount of resources to each piece of land in order to maximize the benefit while having a minimal economic and environmental impact. Based on this principle, precision pesticide spraying for farmland pests requires precise identification of plant features and in-flight management. The spraying rate spray needs to be accurate and uniform and targeted at the plant regions that suffer from disease and pests. The intelligent spraying technology is also used. In this paper, the navigation needs of a UAV (unmanned aerial vehicle) are studied. Hyperspectral imaging is used for field crops to combine plant location data with visual data for precision management of the crop spraying process. GPS (Global Positioning System) positioning and hyperspectral image features such as crop growth status and nutritional status are combined to achieve human-computer intelligent spraying visual servo control.

中文翻译：

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农用无人机视觉导航定位系统研究

摘要 精准农业需要将最少的资源分配到每一块土地上，以便在对经济和环境影响最小的情况下获得最大的收益。基于这一原理，针对农田害虫的精准农药喷洒需要对植物特征进行精准识别，并在飞行中进行管理。喷洒率喷雾需要准确、均匀，并针对遭受病虫害的植物区域。还采用了智能喷涂技术。在本文中，研究了 UAV（无人驾驶飞行器）的导航需求。高光谱成像用于大田作物，将植物位置数据与视觉数据相结合，以实现作物喷洒过程的精确管理。