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http://dx.doi.org/10.7780/kjrs.2022.38.6.1.11

Applications of Thermal Imaging Camera to Detect the Physiological States Caused by Soil Fertilizer, Shading Growth, and Genetic Characteristic  

Moon, Hyun-Dong (Department of Applied Plant Science, Chonnam National University)
Cho, Yuna (Department of Applied Plant Science, Chonnam National University)
Jo, Euni (Department of Applied Plant Science, Chonnam National University)
Kim, Hyunki (Department of Applied Plant Science, Chonnam National University)
Kim, Bo-kyeong (Department of Applied Plant Science, Chonnam National University)
Jeong, Hoejeong (Crop Production and Physiology Division, National Institute of Crop Science, Rural Development Administration)
Kwon, Dongwon (Crop Production and Physiology Division, National Institute of Crop Science, Rural Development Administration)
Cho, Jaeil (Department of Applied Plant Science, Chonnam National University)
Publication Information
Korean Journal of Remote Sensing / v.38, no.6_1, 2022 , pp. 1101-1107 More about this Journal
Abstract
The leaf temperature is principally regulated by the opening and closing of stomata that is sensitive to various kinds of plant physiological stress. Thus, the analysis of thermal imagery, one of remote sensing technique, will be useful to detect crop physiological condition on smart farm system and phenomics platform. However, there are few case studies using a thermal imaging camera on the agricultural application. In this study, three cases are presented: the effect of lime fertilizer on the rice, the different physiological properties of soybean under shading condition, and the screening of soybean breeds for salinity tolerance characteristic. The leaf temperature measured by thermal imaging camera on the three cases was used effectively to the physiological change and characteristics. However, the thermal imagery analysis requires considering the accuracy of measured temperature and the weather conditions that affects to the leaf temperature.
Keywords
Thermal imaging camera; Leaf temperature; Stomata; Smart farm; Phenomics;
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