Thermal Imaging for Plant Stress Detection and Phenotyping

Abstract

In the last few years, large efforts have been made to develop new methods to optimize stress detection in crop fields. Thus, plant phenotyping based on imaging techniques has become an essential tool in agriculture. In particular, leaf temperature is a valuable indicator of the physiological status of plants, responding to both biotic and abiotic stressors. Often combined with other imaging sensors and data-mining techniques, thermography is crucial in the implementation of a more automatized, precise and sustainable agriculture. However, thermal data need some corrections related to the environmental and measuring conditions in order to achieve a correct interpretation of the data. This review focuses on the state of the art of thermography applied to the detection of biotic stress. The work will also revise the most important abiotic stress factors affecting the measurements as well as practical issues that need to be considered in order to implement this technique, particularly at the field scale.

Code and data availability

This is a review article on thermal imaging for plant stress detection. The supplied blocks contain no paper-specific phenotype datasets, thermal images, analysis code, models, or supplements with such assets; all cited works are prior literature, and the only URL mentioned (International Plant Phenotyping Network) is,

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