Journal
REMOTE SENSING
Volume 13, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/rs13010068
Keywords
Remote sensing; proximal sensing; thermography; plant phenotyping
Categories
Funding
- Junta de Andalucia [P12-AGR-0370]
- Ministerio de Ciencia, Innovacion y Universidades (MCIU) by Agencia Estatal de Investigacion (AEI)
- European Regional Development Fund (ERDF) [RTI2018-094652-B-I00]
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In recent years, significant efforts have been made to develop new methods for optimizing stress detection in crop fields, with plant phenotyping based on imaging techniques becoming an essential tool in agriculture. Thermal imaging, particularly leaf temperature, is a valuable indicator of plant physiological status responsive to both biotic and abiotic stressors. When combined with other imaging sensors and data-mining techniques, thermography plays a crucial role in achieving more automated, precise, and sustainable agriculture.
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.
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