A Method of High Throughput Monitoring Crop Physiology Using Chlorophyll Fluorescence and Multispectral Imaging.

Abstract

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. Highlights: 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.

Plant phenotyping relevance

植物の生理状態・ストレスをクロロフィル蛍光とマルチスペクトル画像から非破壊・連続的に推定する高スループット監視システムと手法が研究の中心であり、植物フェノタイピング手法に該当する。

Code and data availability

The paper's supplementary material publicly hosts the paper-specific phenotyping images: pseudo-color ΦPSII, Fv/Fm, and 550/510 parameter images and photos of tomato plants under drought, nitrogen deficiency, and Botrytis cinerea stress, plus a photo of the monitoring system. These are the plant images/phenotyping data