All-Russian Institute of Plant Protection, 196608 Saint Petersburg, Russia.
Sensors (Basel). 2023 Jun 6;23(12):5366. doi: 10.3390/s23125366.
The various areas of ultra-sensitive remote sensing research equipment development have provided new ways for assessing crop states. However, even the most promising areas of research, such as hyperspectral remote sensing or Raman spectrometry, have not yet led to stable results. In this review, the main methods for early plant disease detection are discussed. The best proven existing techniques for data acquisition are described. It is discussed how they can be applied to new areas of knowledge. The role of metabolomic approaches in the application of modern methods for early plant disease detection and diagnosis is reviewed. A further direction for experimental methodological development is indicated. The ways to increase the efficiency of modern early plant disease detection remote sensing methods through metabolomic data usage are shown. This article provides an overview of modern sensors and technologies for assessing the biochemical state of crops as well as the ways to apply them in synergy with existing data acquisition and analysis technologies for early plant disease detection.
超灵敏遥感研究设备的各个领域的发展为评估作物状态提供了新的方法。然而，即使是最有前途的研究领域，如高光谱遥感或拉曼光谱学，也尚未得出稳定的结果。在这篇综述中，讨论了早期植物病害检测的主要方法。描述了最佳的现有技术用于数据采集。讨论了它们如何应用于新的知识领域。综述了代谢组学方法在应用现代早期植物病害检测和诊断方法中的作用。指出了实验方法学发展的进一步方向。展示了通过使用代谢组学数据来提高现代早期植物病害检测遥感方法效率的方法。本文概述了评估作物生化状态的现代传感器和技术，以及与现有的早期植物病害检测数据获取和分析技术协同应用的方法。
