Abstract

Tree diseases endanger forestry and fruit tree plantations seriously worldwide in the past decades, leading to significant economic losses for the agricultural production sector. Rapid and accurate detection of tree diseases is crucial in tree protection. Despite molecular biological detection methods have prominent specificity, they are time-consuming and laborious, and are not suitable for large-scale detection of tree diseases. Spectroscopy with nondestructive, rapid, and high throughput characteristics has been applied to plant disease detection. Spectral detection systems are divided into three categories according to the spectrometer's carrying platform: portable hand-held spectrometer, airborne vehicle-mounted spectrometer, and large laboratory spectrometer. This review summarized three main spectral detection systems and their advantages and disadvantages in detecting various diseases of forestry and fruit trees: including detection of the single disease, multiple stress, and early disease using Visible/near-infrared, Raman, and hyperspectral imaging. Finally, spectroscopy detection technology applications of challenges were summarized, highlighting future trends.

摘要

在过去的几十年里，树木病害严重危及世界范围内的林业和果树种植园，导致农业生产部门遭受重大经济损失。快速准确地检测树木病害对树木保护至关重要。分子生物学检测方法虽然特异性突出，但费时费力，不适用于树木病害的大规模检测。光谱学具有无损、快速、高通量等特点，已被应用于植物病害检测。光谱检测系统按光谱仪的携带平台分为三大类：便携式手持式光谱仪、机载车载式光谱仪和大型实验室光谱仪。本文综述了三种主要的光谱检测系统及其在林果树各种病害检测中的优缺点：包括使用可见/近红外、拉曼和高光谱成像检测单一病害、多重胁迫和早期病害。最后总结了光谱检测技术应用面临的挑战，突出了未来发展趋势。