Phenotypic information is of great significance for irrigation management, disease prevention and yield improvement. Interest in the evaluation of phenotypes has grown with the goal of enhancing the quality of fruit trees. Traditional techniques for monitoring fruit tree phenotypes are destructive and time-consuming. The development of advanced technology is the key to rapid and non-destructive detection. This review describes several techniques applied to fruit tree phenotypic research in the field, including visible and near-infrared (VIS–NIR) spectroscopy, digital photography, multispectral and hyperspectral imaging, thermal imaging, and light detection and ranging (LiDAR). The applications of these technologies are summarized in terms of architecture parameters, pigment and nutrient contents, water stress, biochemical parameters of fruits and disease detection. These techniques have been shown to play important roles in fruit tree phenotypic research.

中文翻译：

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表型技术及其在果树中的应用：综述。

表型信息对于灌溉管理，疾病预防和单产提高具有重要意义。为了提高果树的质量，对表型评估的兴趣已经增长。监测果树表型的传统技术具有破坏性且耗时。先进技术的发展是快速无损检测的关键。这篇综述描述了应用于果树表型研究的几种技术，包括可见和近红外（VIS-NIR）光谱，数字摄影，多光谱和高光谱成像，热成像以及光检测和测距（LiDAR）。总结了这些技术的应用，包括结构参数，色素和营养成分，水分胁迫，水果生化参数及病害检测。这些技术已显示在果树表型研究中发挥重要作用。