All-Russian Institute of Plant Protection, 3 Podbelsokogo Str., Pushkin, 196608 Saint Petersburg, Russia.
World-Class Research Center «Advanced Digital Technologies», Peter the Great St. Petersburg Polytechnic University, 29 Polytechnicheskaya Str., 195251 Saint Petersburg, Russia.
Sensors (Basel). 2022 Jan 19;22(3):757. doi: 10.3390/s22030757.
The development of hyperspectral remote sensing equipment, in recent years, has provided plant protection professionals with a new mechanism for assessing the phytosanitary state of crops. Semantically rich data coming from hyperspectral sensors are a prerequisite for the timely and rational implementation of plant protection measures. This review presents modern advances in early plant disease detection based on hyperspectral remote sensing. The review identifies current gaps in the methodologies of experiments. A further direction for experimental methodological development is indicated. A comparative study of the existing results is performed and a systematic table of different plants' disease detection by hyperspectral remote sensing is presented, including important wave bands and sensor model information.
近年来，高光谱遥感设备的发展为植保专业人员提供了一种评估作物植物保护状况的新机制。高光谱传感器提供的语义丰富的数据是及时、合理地实施植保措施的前提。本文综述了基于高光谱遥感的早期植物病害检测的现代进展。本文确定了实验方法学中当前的差距。指出了实验方法学发展的进一步方向。对现有结果进行了比较研究，并呈现了一个不同植物高光谱遥感疾病检测的系统表格，包括重要的波段和传感器型号信息。
