Prediction of Growth and Quality of Chinese Cabbage Seedlings Cultivated in Different Plug Cell Sizes via Analysis of Image Data Using Multispectral Camera
In recent times, there has been an increasing demand for the development of rapid and non-destructive assessment of the growth and quality of seedlings before transplanting. This study was conducted to examine the growth and quality of Chinese cabbage seedlings that can be determined via the image d...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Horticulturae |
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| Online Access: | https://www.mdpi.com/2311-7524/9/12/1288 |
| _version_ | 1797380864326238208 |
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| author | Sehui Ban Inseo Hong Yurina Kwack |
| author_facet | Sehui Ban Inseo Hong Yurina Kwack |
| author_sort | Sehui Ban |
| collection | DOAJ |
| description | In recent times, there has been an increasing demand for the development of rapid and non-destructive assessment of the growth and quality of seedlings before transplanting. This study was conducted to examine the growth and quality of Chinese cabbage seedlings that can be determined via the image data acquired using a multispectral camera. Chinese cabbage seedlings were cultivated in five different plug trays (72, 105, 128, 162, and 200 cells/tray) for 30 days after sowing (DAS). The growth of seedlings had no significant difference in the early stage of cultivation; however, it decreased with increasing the number of cells in the plug tray due to the restricted root zone volume in the mid to late stages. Individual leaf area was predicted by analyzing of image data with high accuracy (R<sup>2</sup> > 0.8) after 15 DAS; however, the accuracy of leaf area prediction per tray decreased due to overlapping and twisting leaves. Among six different vegetation indices, mrNDVI showed a high correlation (R<sup>2</sup> > 0.6) with the dry weight of seedlings at 25 and 30 DAS. We confirmed that the leaf area of seedlings can be predicted non-destructively by analyzing the acquired image data per seedling and tray and suggested the applicability of vegetation indices for predicting the growth and quality of vegetable seedlings. |
| first_indexed | 2024-03-08T20:43:10Z |
| format | Article |
| id | doaj.art-ce404469686a43a79bfc732a62744759 |
| institution | Directory Open Access Journal |
| issn | 2311-7524 |
| language | English |
| last_indexed | 2024-03-08T20:43:10Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Horticulturae |
| spelling | doaj.art-ce404469686a43a79bfc732a627447592023-12-22T14:12:30ZengMDPI AGHorticulturae2311-75242023-11-01912128810.3390/horticulturae9121288Prediction of Growth and Quality of Chinese Cabbage Seedlings Cultivated in Different Plug Cell Sizes via Analysis of Image Data Using Multispectral CameraSehui Ban0Inseo Hong1Yurina Kwack2Department of Environmental Horticulture, University of Seoul, Seoul 02504, Republic of KoreaDepartment of Environmental Horticulture, University of Seoul, Seoul 02504, Republic of KoreaDepartment of Environmental Horticulture, University of Seoul, Seoul 02504, Republic of KoreaIn recent times, there has been an increasing demand for the development of rapid and non-destructive assessment of the growth and quality of seedlings before transplanting. This study was conducted to examine the growth and quality of Chinese cabbage seedlings that can be determined via the image data acquired using a multispectral camera. Chinese cabbage seedlings were cultivated in five different plug trays (72, 105, 128, 162, and 200 cells/tray) for 30 days after sowing (DAS). The growth of seedlings had no significant difference in the early stage of cultivation; however, it decreased with increasing the number of cells in the plug tray due to the restricted root zone volume in the mid to late stages. Individual leaf area was predicted by analyzing of image data with high accuracy (R<sup>2</sup> > 0.8) after 15 DAS; however, the accuracy of leaf area prediction per tray decreased due to overlapping and twisting leaves. Among six different vegetation indices, mrNDVI showed a high correlation (R<sup>2</sup> > 0.6) with the dry weight of seedlings at 25 and 30 DAS. We confirmed that the leaf area of seedlings can be predicted non-destructively by analyzing the acquired image data per seedling and tray and suggested the applicability of vegetation indices for predicting the growth and quality of vegetable seedlings.https://www.mdpi.com/2311-7524/9/12/1288dry weightleaf areamrNDVIvegetation indextray |
| spellingShingle | Sehui Ban Inseo Hong Yurina Kwack Prediction of Growth and Quality of Chinese Cabbage Seedlings Cultivated in Different Plug Cell Sizes via Analysis of Image Data Using Multispectral Camera Horticulturae dry weight leaf area mrNDVI vegetation index tray |
| title | Prediction of Growth and Quality of Chinese Cabbage Seedlings Cultivated in Different Plug Cell Sizes via Analysis of Image Data Using Multispectral Camera |
| title_full | Prediction of Growth and Quality of Chinese Cabbage Seedlings Cultivated in Different Plug Cell Sizes via Analysis of Image Data Using Multispectral Camera |
| title_fullStr | Prediction of Growth and Quality of Chinese Cabbage Seedlings Cultivated in Different Plug Cell Sizes via Analysis of Image Data Using Multispectral Camera |
| title_full_unstemmed | Prediction of Growth and Quality of Chinese Cabbage Seedlings Cultivated in Different Plug Cell Sizes via Analysis of Image Data Using Multispectral Camera |
| title_short | Prediction of Growth and Quality of Chinese Cabbage Seedlings Cultivated in Different Plug Cell Sizes via Analysis of Image Data Using Multispectral Camera |
| title_sort | prediction of growth and quality of chinese cabbage seedlings cultivated in different plug cell sizes via analysis of image data using multispectral camera |
| topic | dry weight leaf area mrNDVI vegetation index tray |
| url | https://www.mdpi.com/2311-7524/9/12/1288 |
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