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http://dx.doi.org/10.5532/KJAFM.2020.22.1.13

Low-cost Assessment of Canopy Light Interception and Leaf Area in Soybean Canopy Cover using RGB Color Images  

Lee, Yun-Ho (Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration)
Sang, Wan-Gyu (Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration)
Baek, Jae-Kyeong (Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration)
Kim, Jun-Hwan (Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration)
Cho, Jung-Il (Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration)
Seo, Myung-Chul (Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.22, no.1, 2020 , pp. 13-19 More about this Journal
Abstract
This study compared RGB color images with canopy light interception (LI) and leaf area index (LAI) measurements for low cost and low labor. LAI and LI were measured from vertical gap fraction derived from top of digital image in soybean canopy cover (cv Daewonkong, Deapongkong and Pungsannamulkong). RGB color images, LAI, and LI were collected from V4.5 stage to R5stage. Image segmentation was based on excess green minus excess red index (ExG-ExR). There was a linear relationship between LAI measured with LI (r2=0.84). There was alinear relation ship between LI measured with canopy cover on image (CCI) (r2=0.94). There was a significant positive relationship(r2=0.74) between LAI and CCI at all grow ingseason. Therefore, it is expected that in the future, the RGB color image could be able to easily measure the LAI and the LI at low cost and low labor.
Keywords
Soybean; RGB color image; Leaf area; Canopy cover light interception; ExGR;
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