Non-destructive measurement of leaf area and leaf number of hydroponic pak-choy plants (Brassica rapa)
Leaf area and leaf number is an important factor in many agronomic and plant physiological studies. The measurements are commonly obtained by destructive and time consuming via laboratory. Therefore, there is a trend in utilizing fast and non-destructive methods to estimate leaf area and leaf number...
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| Veröffentlicht in: | IOP conference series. Earth and environmental science 2021-01, Vol.644 (1), p.12004 |
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| creator | Nasution, I S Satriyo, P Ichwana Yolanda, S Alma, A |
| description | Leaf area and leaf number is an important factor in many agronomic and plant physiological studies. The measurements are commonly obtained by destructive and time consuming via laboratory. Therefore, there is a trend in utilizing fast and non-destructive methods to estimate leaf area and leaf number. The aim of this study was to estimate leaf area and leaf number of pak choy (Brassica rapa) under field condition. For this purpose, 180 pots of pak choy plants were captured. Afterward, the images were analysed via image processing. Distance transform-watershed segmentation was used to extract and to separate every leaf from its background. The area of each leaves were estimated according to the pixel values obtained. The area of leaves also compared to the ImageJ measurement. The number of extracted leaves was evaluated according to precision, recall, and f-measure calculation. In conclusion, our system achieves a good performance for minimal occlusion leaves and provides quick and non-destructive method. This method could potentially be applied to design phenotyping system in the greenhouse even for small scale companies. |
| doi_str_mv | 10.1088/1755-1315/644/1/012004 |
| format | Article |
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Earth and environmental science</title><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><description>Leaf area and leaf number is an important factor in many agronomic and plant physiological studies. The measurements are commonly obtained by destructive and time consuming via laboratory. Therefore, there is a trend in utilizing fast and non-destructive methods to estimate leaf area and leaf number. The aim of this study was to estimate leaf area and leaf number of pak choy (Brassica rapa) under field condition. For this purpose, 180 pots of pak choy plants were captured. Afterward, the images were analysed via image processing. Distance transform-watershed segmentation was used to extract and to separate every leaf from its background. The area of each leaves were estimated according to the pixel values obtained. The area of leaves also compared to the ImageJ measurement. The number of extracted leaves was evaluated according to precision, recall, and f-measure calculation. In conclusion, our system achieves a good performance for minimal occlusion leaves and provides quick and non-destructive method. This method could potentially be applied to design phenotyping system in the greenhouse even for small scale companies.</description><subject>Brassica</subject><subject>Brassica rapa</subject><subject>Hydroponics</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>Leaf area</subject><subject>Leaves</subject><subject>Nondestructive testing</subject><subject>Occlusion</subject><subject>Phenotyping</subject><subject>Physiological effects</subject><subject>Plants</subject><issn>1755-1307</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkE1LxDAQhosouK7-BQl4WQ9189lsj7qsH7DoQT2HaZKyXbdNTFph_70tFUUQPE2GeeYN8yTJOcFXBC8WcyKFSAkjYp5xPidzTCjG_CCZfA8Ov99YHicnMW4xziRn-SQpH12TGhvb0Om2-rCothC7YGvbtMiVaGehRBAsIGjM2DVdXdgwDDd7E5x3TaWRh7dUb9we-R00bUSzmwAxVhpQAA-Xp8lRCbtoz77qNHm9Xb0s79P1093D8nqdao5lm-Y2JwVQIaXGjLFCWFNyKjArMgBigGgmDMU0k1Zbmi24zI0uoLCcgSitYNPkYsz1wb13_Vlq67rQ9F8qKvrzGeEU91Q2Ujq4GIMtlQ9VDWGvCFaDUzXoUoM61TtVRI1O-8XZuFg5_5O8Wj3_wpQ3ZY_SP9B_8j8BlFyF1w</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Nasution, I S</creator><creator>Satriyo, P</creator><creator>Ichwana</creator><creator>Yolanda, S</creator><creator>Alma, A</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20210101</creationdate><title>Non-destructive measurement of leaf area and leaf number of hydroponic pak-choy plants (Brassica rapa)</title><author>Nasution, I S ; Satriyo, P ; Ichwana ; Yolanda, S ; Alma, A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c407t-9e91ba2577c0333b5edf42503b6aa1da1c35d20267ece268479dcbabe43a5fe53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Brassica</topic><topic>Brassica rapa</topic><topic>Hydroponics</topic><topic>Image processing</topic><topic>Image segmentation</topic><topic>Leaf area</topic><topic>Leaves</topic><topic>Nondestructive testing</topic><topic>Occlusion</topic><topic>Phenotyping</topic><topic>Physiological effects</topic><topic>Plants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nasution, I S</creatorcontrib><creatorcontrib>Satriyo, P</creatorcontrib><creatorcontrib>Ichwana</creatorcontrib><creatorcontrib>Yolanda, S</creatorcontrib><creatorcontrib>Alma, A</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>IOP conference series. Earth and environmental science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nasution, I S</au><au>Satriyo, P</au><au>Ichwana</au><au>Yolanda, S</au><au>Alma, A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Non-destructive measurement of leaf area and leaf number of hydroponic pak-choy plants (Brassica rapa)</atitle><jtitle>IOP conference series. Earth and environmental science</jtitle><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><date>2021-01-01</date><risdate>2021</risdate><volume>644</volume><issue>1</issue><spage>12004</spage><pages>12004-</pages><issn>1755-1307</issn><eissn>1755-1315</eissn><abstract>Leaf area and leaf number is an important factor in many agronomic and plant physiological studies. The measurements are commonly obtained by destructive and time consuming via laboratory. Therefore, there is a trend in utilizing fast and non-destructive methods to estimate leaf area and leaf number. The aim of this study was to estimate leaf area and leaf number of pak choy (Brassica rapa) under field condition. For this purpose, 180 pots of pak choy plants were captured. Afterward, the images were analysed via image processing. Distance transform-watershed segmentation was used to extract and to separate every leaf from its background. The area of each leaves were estimated according to the pixel values obtained. The area of leaves also compared to the ImageJ measurement. The number of extracted leaves was evaluated according to precision, recall, and f-measure calculation. In conclusion, our system achieves a good performance for minimal occlusion leaves and provides quick and non-destructive method. 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| subjects | Brassica Brassica rapa Hydroponics Image processing Image segmentation Leaf area Leaves Nondestructive testing Occlusion Phenotyping Physiological effects Plants |
| title | Non-destructive measurement of leaf area and leaf number of hydroponic pak-choy plants (Brassica rapa) |
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