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Recent advances in sensing plant diseases for precision crop protection

机译:感测植物病害以实现精准作物保护的最新进展

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摘要

Near-range and remote sensing techniques have demonstrated a high potential in detecting diseases and in monitoring crop stands for sub-areas with infected plants. The occurrence of plant diseases depends on specific environmental and epidemiological factors; diseases, therefore, often have a patchy distribution in the field. This review outlines recent insights in the use of non-invasive optical sensors for the detection, identification and quantification of plant diseases on different scales. Most promising sensor types are thermography, chlorophyll fluorescence and hyperspectral sensors. For the detection and monitoring of plant disease, imaging systems are preferable to non-imaging systems. Differences and key benefits of these techniques are outlined. To utilise the full potential of these highly sophisticated, innovative technologies and high dimensional, complex data for precision crop protection, a multi-disciplinary approach—including plant pathology, engineering, and informatics—is required. Besides precision crop protection, plant phenotyping for resistance breeding or fungicide screening can be optimized by these innovative technologies.
机译:近距离和遥感技术已显示出在发现疾病和监测作物受侵染植物分区的潜力方面的巨大潜力。植物病害的发生取决于特定的环境和流行病学因素;因此,该病在野外经常有零星分布。这篇综述概述了使用无创光学传感器在不同规模上检测,鉴定和定量植物病害的最新见解。最有前途的传感器类型是热成像,叶绿素荧光和高光谱传感器。为了检测和监测植物病害,成像系统优于非成像系统。概述了这些技术的差异和主要优点。为了充分利用这些高度复杂的创新技术和高维,复杂的数据来进行精确的作物保护,需要采用多学科方法,包括植物病理学,工程学和信息学。除了精确的作物保护外,这些创新技术还可以优化用于抗性育种或杀菌剂筛选的植物表型。

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