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Estimation of leaf area using watershed and ellipse fitting methods for spinach cultivation images
This paper proposes a method to estimate leaf area from spinach cultivation images using image processing techniques. The proposed method was evaluated, and the results demonstrate that the leaf area can be estimated by interpolating the area of overlapping parts using the ellipse fitting method und...
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Published in: | Engineering in Agriculture, Environment and Food Environment and Food, 2023, Vol.16(3), pp.82-87 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | This paper proposes a method to estimate leaf area from spinach cultivation images using image processing techniques. The proposed method was evaluated, and the results demonstrate that the leaf area can be estimated by interpolating the area of overlapping parts using the ellipse fitting method under dense planting conditions, e.g., the harvest season. Furthermore, the correlation coefficient between the estimated leaf area obtained by the ellipse fitting method and the measured fresh weight was greater than 0.9 in some cases. Additionally, the results suggest that estimating maximum leaf area using this method is an effective way to estimate the fresh weight of the crop. |
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ISSN: | 1881-8366 1881-8366 |
DOI: | 10.37221/eaef.16.3_82 |