Intelligent image analysis for retrieval of leaf chlorophyll content of rice from digital images of smartphone under natural light
The present study describes a new imaging method to acquire rice leaf images under field conditions using a smartphone and modeling approaches to retrieve the leaf chlorophyll (Chl) content from digitized images. Pearson's correlation of image-based color indices of the relative Chl content mea...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Academy of Sciences of the Czech Republic, Institute of Experimental Botany
2019-05-01
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Series: | Photosynthetica |
Subjects: | |
Online Access: | https://ps.ueb.cas.cz/artkey/phs-201902-0004_intelligent-image-analysis-for-retrieval-of-leaf-chlorophyll-content-of-rice-from-digital-images-of-smartphone.php |