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Remote Sensing of Diseases.
Annual Review of Phytopathology ( IF 10.2 ) Pub Date : 2020-08-27 , DOI: 10.1146/annurev-phyto-010820-012832
Erich-Christian Oerke 1
Affiliation  

Detection, identification, and quantification of plant diseases by sensor techniques are expected to enable a more precise disease control, as sensors are sensitive, objective, and highly available for disease assessment. Recent progress in sensor technology and data processing is very promising; nevertheless, technical constraints and issues inherent to variability in host–pathogen interactions currently limit the use of sensors in various fields of application. The information from spectral [e.g., RGB (red, green, blue)], multispectral, and hyperspectral sensors that measure reflectance, fluorescence, and emission of radiation or from electronic noses that detect volatile organic compounds released from plants or pathogens, as well as the potential of sensors to characterize the health status of crops, is evaluated based on the recent literature. Phytopathological aspects of remote sensing of plant diseases across different scales and for various purposes are discussed, including spatial disease patterns, epidemic spread of pathogens, crop characteristics, and links to disease control. Future challenges in sensor use are identified.

中文翻译:


疾病的遥感。

通过传感器技术对植物病害的检测,鉴定和定量,有望实现更精确的病害控制,因为传感器灵敏,客观并且可用于疾病评估。传感器技术和数据处理的最新进展非常有希望。然而,技术限制和宿主与病原体相互作用的可变性所固有的问题目前限制了传感器在各种应用领域中的使用。来自光谱[例如RGB(红色,绿色,蓝色),多光谱和高光谱传感器的信息,这些传感器测量反射率,荧光和辐射的发射,或者来自检测从植物或病原体释放的挥发性有机化合物以及电子鼻的电子鼻根据最新文献评估了传感器表征作物健康状况的潜力。讨论了不同规模和出于各种目的的植物病害遥感的植物病理学方面,包括空间病害模式,病原体流行,作物特征以及与病害控制的联系。确定了传感器使用方面的未来挑战。

更新日期:2020-08-28
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