Growth estimation of leaf vegetable plants using camera image analysis
Fresh weight and leaf canopy area of vegetable plants are the main parameters of plant growth in determining productivity and yield quality, affecting consumer acceptance. Visual observations and manual measurements are time-consuming, labor-intensive, and subject to high errors. Plant phenotyping t...
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| Veröffentlicht in: | IOP conference series. Earth and environmental science 2024-08, Vol.1386 (1), p.12023 |
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| creator | Suharto, YB Suhardiyanto, H Susila, AD Supriyanto |
| description | Fresh weight and leaf canopy area of vegetable plants are the main parameters of plant growth in determining productivity and yield quality, affecting consumer acceptance. Visual observations and manual measurements are time-consuming, labor-intensive, and subject to high errors. Plant phenotyping technology can be applied to measure physiological and growth conditions and predict plant productivity non-destructively. The objective of the study was to estimate the canopy area and fresh weight of leaf vegetable plants non-destructively using camera image analysis. Pakcoy mustard and romaine lettuce are grown hydroponically in a greenhouse. Plant images were taken using a digital web camera installed on a photo box set with dimensions of 90cm×60cm×90cm (l×w×h). One hundred images of each pakcoy and romaine lettuce plant were analyzed using image processing to see the profile of the relationship between the canopy area and the fresh weight of vegetable plants. Camera image analysis can describe leaf vegetable plants’ growth profile in greenhouses. Canopy area and plant fresh weight correlated well to form a quadratic equation with R
2
0.96 for pakcoy and R
2
0.98 for romaine lettuce. The plant growth estimation model built using the results of camera image analysis can estimate the parameters of the canopy area and fresh weight of leaf vegetable plants with high accuracy. |
| doi_str_mv | 10.1088/1755-1315/1386/1/012023 |
| format | Article |
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2
0.96 for pakcoy and R
2
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2
0.96 for pakcoy and R
2
0.98 for romaine lettuce. The plant growth estimation model built using the results of camera image analysis can estimate the parameters of the canopy area and fresh weight of leaf vegetable plants with high accuracy.</description><subject>camera image analysis</subject><subject>Cameras</subject><subject>Canopies</subject><subject>Digital imaging</subject><subject>greenhouse</subject><subject>Greenhouses</subject><subject>Growth conditions</subject><subject>growth estimation</subject><subject>hydroponic</subject><subject>Hydroponics</subject><subject>Image analysis</subject><subject>Image processing</subject><subject>Image quality</subject><subject>leaf vegetable</subject><subject>Leaves</subject><subject>Lettuce</subject><subject>Mustard</subject><subject>Parameter estimation</subject><subject>Phenotyping</subject><subject>Plant growth</subject><subject>plant phenotyping</subject><subject>Plants</subject><subject>Plants (botany)</subject><subject>Productivity</subject><subject>Quadratic equations</subject><subject>Vegetables</subject><subject>Visual observation</subject><subject>Weight</subject><issn>1755-1307</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkFFLwzAUhYMoOKe_wYDPtfcm7ZI8ynCbMPBFn0OaJrOja2vSKfv3tlTmo0_3wj3ncO5HyD3CI4KUKYo8T5BjniKXixRTQAaMX5DZ-XJ53kFck5sY9wALkXE1I6t1aL_7D-piXx1MX7UNbT2tnfH0y-1cb4ra0a42TR_pMVbNjlpzcMHQQb1z1DSmPsUq3pIrb-ro7n7nnLyvnt-Wm2T7un5ZPm0TiwvFE5uj8a50lpVcSZAZFLJUhfCZB1cAQ1-yDMscpGWQWymVF0yg42izTCrH5-Rhyu1C-3kcSut9ewxDiag5KDU8KDM-qMSksqGNMTivuzD0DSeNoEdoesShRzR6hKZRT9AGJ5-cVdv9Rf_n-gEYWm2z</recordid><startdate>20240801</startdate><enddate>20240801</enddate><creator>Suharto, YB</creator><creator>Suhardiyanto, H</creator><creator>Susila, AD</creator><creator>Supriyanto</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>20240801</creationdate><title>Growth estimation of leaf vegetable plants using camera image analysis</title><author>Suharto, YB ; Suhardiyanto, H ; Susila, AD ; Supriyanto</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1693-c51afedec2d3980840b8d9b7f4f0eb021fd241d508c205c889f7271e31c4489e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>camera image analysis</topic><topic>Cameras</topic><topic>Canopies</topic><topic>Digital imaging</topic><topic>greenhouse</topic><topic>Greenhouses</topic><topic>Growth conditions</topic><topic>growth estimation</topic><topic>hydroponic</topic><topic>Hydroponics</topic><topic>Image analysis</topic><topic>Image processing</topic><topic>Image quality</topic><topic>leaf vegetable</topic><topic>Leaves</topic><topic>Lettuce</topic><topic>Mustard</topic><topic>Parameter estimation</topic><topic>Phenotyping</topic><topic>Plant growth</topic><topic>plant phenotyping</topic><topic>Plants</topic><topic>Plants (botany)</topic><topic>Productivity</topic><topic>Quadratic equations</topic><topic>Vegetables</topic><topic>Visual observation</topic><topic>Weight</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Suharto, YB</creatorcontrib><creatorcontrib>Suhardiyanto, H</creatorcontrib><creatorcontrib>Susila, AD</creatorcontrib><creatorcontrib>Supriyanto</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. 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Plant phenotyping technology can be applied to measure physiological and growth conditions and predict plant productivity non-destructively. The objective of the study was to estimate the canopy area and fresh weight of leaf vegetable plants non-destructively using camera image analysis. Pakcoy mustard and romaine lettuce are grown hydroponically in a greenhouse. Plant images were taken using a digital web camera installed on a photo box set with dimensions of 90cm×60cm×90cm (l×w×h). One hundred images of each pakcoy and romaine lettuce plant were analyzed using image processing to see the profile of the relationship between the canopy area and the fresh weight of vegetable plants. Camera image analysis can describe leaf vegetable plants’ growth profile in greenhouses. Canopy area and plant fresh weight correlated well to form a quadratic equation with R
2
0.96 for pakcoy and R
2
0.98 for romaine lettuce. The plant growth estimation model built using the results of camera image analysis can estimate the parameters of the canopy area and fresh weight of leaf vegetable plants with high accuracy.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1755-1315/1386/1/012023</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | camera image analysis Cameras Canopies Digital imaging greenhouse Greenhouses Growth conditions growth estimation hydroponic Hydroponics Image analysis Image processing Image quality leaf vegetable Leaves Lettuce Mustard Parameter estimation Phenotyping Plant growth plant phenotyping Plants Plants (botany) Productivity Quadratic equations Vegetables Visual observation Weight |
| title | Growth estimation of leaf vegetable plants using camera image analysis |
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