Unmanned Aerial Systems in Precision Agriculture - Technological Progresses and Applications
Unmanned Aerial Systems in Precision Agriculture - Technological Progresses and Applications
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精准农业中的无人机系统——技术进展与应用
DOI：
10.1007/978-981-19-2027-1_7
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Su J
中科院分区：
文献类型：
--
作者：
Su J
小麦在其生命周期中受到各种作物逆境的威胁，其中条锈病是严重影响小麦产量的病害。研究了利用无人机多光谱遥感技术进行小麦条锈病胁迫制图的方法。结合光谱植被指数生成、互信息分析和大津阈值法，初步提出了一个简单的无监督小麦条锈病制图框架。通过田间试验设计，采用不同剂量的黄锈病接种物感染冬小麦，在发病阶段采集症状明显的无人机多光谱图像。标记数据集上的实验结果初步表明，所提出的无监督框架的有效性，为黄锈病映射。本文还讨论了该算法的局限性和实际应用中遇到的挑战。
Wheat is threatened by various crop stresses in its life-cycle, where yellow rust is a severe disease significantly impacting wheat yield. This work aims to investigate the use of Unmanned Aerial Vehicle based multispectral remote sensing for winter wheat stress mapping caused by yellow rust disease. A simple unsupervised wheat yellow rust mapping framework is initially proposed by integrating Spectral Vegetation Indices generation, mutual information analysis and Otsu’s thresholding. A field experiment is carefully designed by infecting winter wheat with different levels of yellow rust inoculum, where UAV multispectral images are collected at the diseased stage with visible symptoms. Experimental results on the labelled dataset initially show the effectiveness of the proposed unsupervised framework for yellow rust disease mapping. Limitations of the proposed algorithm and challenges of yellow rust detection for real-life applications are also discussed.