Relationships between reflectance and absorbance chlorophyll indices with RGB (Red, Green, Blue) image components in seedlings of tropical tree species at nursery stage
Methods based on RGB (Red, Green, Blue) image segmentation may emerge as a new and low-cost method for estimation the quality of tree seedlings. However, the vast number of indexes based on the use of the RGB image segmentation and the lack of references in the literature still hinder the widespread...
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| Veröffentlicht in: | New forests 2019-05, Vol.50 (3), p.377-388 |
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| creator | do Amaral, Elizabeth Santos Vieira Silva, Daniela Dos Anjos, Letícia Schilling, Ana Cristina Dalmolin, Ândrea Carla Mielke, Marcelo Schramm |
| description | Methods based on RGB (Red, Green, Blue) image segmentation may emerge as a new and low-cost method for estimation the quality of tree seedlings. However, the vast number of indexes based on the use of the RGB image segmentation and the lack of references in the literature still hinder the widespread use of this technology. Thus, we conducted a study aiming to test the relationships between methods based on absorbance and reflectance, widely used for the estimation of chlorophyll contents and physiological status of trees, and ten indexes based on RGB component analysis. We used leaves of five tropical tree species, belonging to different botanical families. Leaf absorbance was measured using the handheld chlorophyll meter SPAD-502, reflectance was measured using a spectrometer and the RGB indices were obtained from digitalized images of the leaves using a flatbed scanner. Modified linear regression models including all five species were used to relate RGB indices to absorbance and reflectance indices. Data collected from leaves of seedlings of five tropical tree species indicated that digital image processing technology can be a useful and rapid nondestructive method for assessment of physiological status of tree seedlings at nursery stage. Among the RGB indexes tested in this study the R, 2R*(G − B)/(G + B) and 2G*(G − B)/(G + B) are the most promising for analysis the tropical seedlings physiological status and quality. |
| doi_str_mv | 10.1007/s11056-018-9662-4 |
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However, the vast number of indexes based on the use of the RGB image segmentation and the lack of references in the literature still hinder the widespread use of this technology. Thus, we conducted a study aiming to test the relationships between methods based on absorbance and reflectance, widely used for the estimation of chlorophyll contents and physiological status of trees, and ten indexes based on RGB component analysis. We used leaves of five tropical tree species, belonging to different botanical families. Leaf absorbance was measured using the handheld chlorophyll meter SPAD-502, reflectance was measured using a spectrometer and the RGB indices were obtained from digitalized images of the leaves using a flatbed scanner. Modified linear regression models including all five species were used to relate RGB indices to absorbance and reflectance indices. Data collected from leaves of seedlings of five tropical tree species indicated that digital image processing technology can be a useful and rapid nondestructive method for assessment of physiological status of tree seedlings at nursery stage. Among the RGB indexes tested in this study the R, 2R*(G − B)/(G + B) and 2G*(G − B)/(G + B) are the most promising for analysis the tropical seedlings physiological status and quality.</description><identifier>ISSN: 0169-4286</identifier><identifier>EISSN: 1573-5095</identifier><identifier>DOI: 10.1007/s11056-018-9662-4</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Absorbance ; Biomedical and Life Sciences ; Chlorophyll ; Digital imaging ; Flatbed ; Forestry ; Image processing ; Image segmentation ; Leaves ; Life Sciences ; Nondestructive testing ; Physiology ; Plant species ; Reflectance ; Regression analysis ; Regression models ; Seedlings ; Species</subject><ispartof>New forests, 2019-05, Vol.50 (3), p.377-388</ispartof><rights>Springer Nature B.V. 2018</rights><rights>New Forests is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-7791776e2ca10cf7566d5e4512e543acdd5b1262e257a90bdae74d22a50c3da33</citedby><cites>FETCH-LOGICAL-c316t-7791776e2ca10cf7566d5e4512e543acdd5b1262e257a90bdae74d22a50c3da33</cites><orcidid>0000-0001-6930-2902</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11056-018-9662-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11056-018-9662-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>do Amaral, Elizabeth Santos</creatorcontrib><creatorcontrib>Vieira Silva, Daniela</creatorcontrib><creatorcontrib>Dos Anjos, Letícia</creatorcontrib><creatorcontrib>Schilling, Ana Cristina</creatorcontrib><creatorcontrib>Dalmolin, Ândrea Carla</creatorcontrib><creatorcontrib>Mielke, Marcelo Schramm</creatorcontrib><title>Relationships between reflectance and absorbance chlorophyll indices with RGB (Red, Green, Blue) image components in seedlings of tropical tree species at nursery stage</title><title>New forests</title><addtitle>New Forests</addtitle><description>Methods based on RGB (Red, Green, Blue) image segmentation may emerge as a new and low-cost method for estimation the quality of tree seedlings. However, the vast number of indexes based on the use of the RGB image segmentation and the lack of references in the literature still hinder the widespread use of this technology. Thus, we conducted a study aiming to test the relationships between methods based on absorbance and reflectance, widely used for the estimation of chlorophyll contents and physiological status of trees, and ten indexes based on RGB component analysis. We used leaves of five tropical tree species, belonging to different botanical families. Leaf absorbance was measured using the handheld chlorophyll meter SPAD-502, reflectance was measured using a spectrometer and the RGB indices were obtained from digitalized images of the leaves using a flatbed scanner. Modified linear regression models including all five species were used to relate RGB indices to absorbance and reflectance indices. Data collected from leaves of seedlings of five tropical tree species indicated that digital image processing technology can be a useful and rapid nondestructive method for assessment of physiological status of tree seedlings at nursery stage. Among the RGB indexes tested in this study the R, 2R*(G − B)/(G + B) and 2G*(G − B)/(G + B) are the most promising for analysis the tropical seedlings physiological status and quality.</description><subject>Absorbance</subject><subject>Biomedical and Life Sciences</subject><subject>Chlorophyll</subject><subject>Digital imaging</subject><subject>Flatbed</subject><subject>Forestry</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>Leaves</subject><subject>Life Sciences</subject><subject>Nondestructive testing</subject><subject>Physiology</subject><subject>Plant species</subject><subject>Reflectance</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Seedlings</subject><subject>Species</subject><issn>0169-4286</issn><issn>1573-5095</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kU1rVDEUhoMoOFZ_gLuAG4VezcdN0ru0xY5CQRjadchNzsykpMk1J0OZf-TPNO0IrlzlBN7nOSQvIe85-8wZM1-Qc6b0wPjFMGkthvEFWXFl5KDYpF6SFeN6GkZxoV-TN4j3jHVKyBX5vYHkWiwZ93FBOkN7BMi0wjaBby57oC4H6mYsdX6--n0qtSz7Y0o05hA9IH2MbU8360v6cQPhnK5rd5zTy3SATzQ-uF2nysNSMuSGHaIIEFLMO6RlS1u3Re9SHwAoLuBjV7pG86Ei1CPF1g1vyautSwjv_p5n5O762-3V9-Hm5_rH1debwUuu22DMxI3RILzjzG-N0jooGBUXoEbpfAhq5kILEMq4ic3BgRmDEE4xL4OT8ox8OHmXWn4dAJu9L4ea-0ormFbcSCNFT_FTyteC2H_LLrU_tB4tZ_apEHsqxPZC7FMhduyMODHYs3kH9Z_5_9AfCl6Qfg</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>do Amaral, Elizabeth Santos</creator><creator>Vieira Silva, Daniela</creator><creator>Dos Anjos, Letícia</creator><creator>Schilling, Ana Cristina</creator><creator>Dalmolin, Ândrea Carla</creator><creator>Mielke, Marcelo Schramm</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-6930-2902</orcidid></search><sort><creationdate>20190501</creationdate><title>Relationships between reflectance and absorbance chlorophyll indices with RGB (Red, Green, Blue) image components in seedlings of tropical tree species at nursery stage</title><author>do Amaral, Elizabeth Santos ; 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However, the vast number of indexes based on the use of the RGB image segmentation and the lack of references in the literature still hinder the widespread use of this technology. Thus, we conducted a study aiming to test the relationships between methods based on absorbance and reflectance, widely used for the estimation of chlorophyll contents and physiological status of trees, and ten indexes based on RGB component analysis. We used leaves of five tropical tree species, belonging to different botanical families. Leaf absorbance was measured using the handheld chlorophyll meter SPAD-502, reflectance was measured using a spectrometer and the RGB indices were obtained from digitalized images of the leaves using a flatbed scanner. Modified linear regression models including all five species were used to relate RGB indices to absorbance and reflectance indices. Data collected from leaves of seedlings of five tropical tree species indicated that digital image processing technology can be a useful and rapid nondestructive method for assessment of physiological status of tree seedlings at nursery stage. Among the RGB indexes tested in this study the R, 2R*(G − B)/(G + B) and 2G*(G − B)/(G + B) are the most promising for analysis the tropical seedlings physiological status and quality.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11056-018-9662-4</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-6930-2902</orcidid></addata></record> |
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| subjects | Absorbance Biomedical and Life Sciences Chlorophyll Digital imaging Flatbed Forestry Image processing Image segmentation Leaves Life Sciences Nondestructive testing Physiology Plant species Reflectance Regression analysis Regression models Seedlings Species |
| title | Relationships between reflectance and absorbance chlorophyll indices with RGB (Red, Green, Blue) image components in seedlings of tropical tree species at nursery stage |
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