Wang Heng, Qian Xiangjie, Zhang Lan, Xu Sailong, Li Haifeng, Xia Xiaojian, Dai Liankui, Xu Liang, Yu Jingquan, Liu Xu
State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou, China.
Department of Horticulture, Zhejiang University, Hangzhou, China.
Front Plant Sci. 2018 Mar 28;9:407. doi: 10.3389/fpls.2018.00407. eCollection 2018.
We present a high throughput crop physiology condition monitoring system and corresponding monitoring method. The monitoring system can perform large-area chlorophyll fluorescence imaging and multispectral imaging. The monitoring method can determine the crop current condition continuously and non-destructively. We choose chlorophyll fluorescence parameters and relative reflectance of multispectral as the indicators of crop physiological status. Using tomato as experiment subject, the typical crop physiological stress, such as drought, nutrition deficiency and plant disease can be distinguished by the monitoring method. Furthermore, we have studied the correlation between the physiological indicators and the degree of stress. Besides realizing the continuous monitoring of crop physiology, the monitoring system and method provide the possibility of machine automatic diagnosis of the plant physiology. A newly designed high throughput crop physiology monitoring system and the corresponding monitoring method are described in this study. Different types of stress can induce distinct fluorescence and spectral characteristics, which can be used to evaluate the physiological status of plants.
我们提出了一种高通量作物生理状况监测系统及相应的监测方法。该监测系统能够进行大面积叶绿素荧光成像和多光谱成像。该监测方法能够连续且无损地确定作物当前状况。我们选择叶绿素荧光参数和多光谱相对反射率作为作物生理状态指标。以番茄作为实验对象，该监测方法能够区分典型的作物生理胁迫，如干旱、营养缺乏和植物病害。此外，我们研究了生理指标与胁迫程度之间的相关性。该监测系统和方法除了实现对作物生理的连续监测外，还为植物生理的机器自动诊断提供了可能性。本研究描述了一种新设计的高通量作物生理监测系统及相应的监测方法。不同类型的胁迫可诱导出不同的荧光和光谱特征，这些特征可用于评估植物的生理状态。
