Image processing modeling for seedling vigor estimation of primed plate brush eggplant (Solanum torvum Sw.) seed
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Abstract
Plate brush eggplant seeds often have low germination and non-uniformity. Thus, the objectives of this study were to investigate the effects of seed priming method on seed quality and seedling vigor, including modeling of image processing for seedling vigor estimation of plate brush eggplant. The experiment was completely randomized design (CRD) with 3 treatments: non-primed seed (control), hydropriming and osmopriming. The results showed that methods of seed priming had no effect on germination in laboratory and greenhouse (GH) conditions, but osmoprimed seed had the fastest mean germination time and time to reach 50% germination in the GH condition. Moreover, seedling growth and vigor from osmoprimed seeds were better than those from non-primed seeds. For data collection from 120 seedlings, the images were captured at a height of 30 cm above the canopy of the seedlings. Image processing was calculated by calculating the pixel number per plant of all treatments. The random sampling was using Stratified Random Sampling of 60 seedlings for modeling and 60 seedlings for validation. The regression equation was then conducted where y was the seedling vigor index and x was the pixel per plant. The equation was y=0.36x + 42.86, with the coefficient of determination of 0.77. The equation was used to estimate the seedling vigor index for validation. The results showed a highly significant relationship between seedling vigor index and seedling vigor index based on simulation, with the correlation coefficient (r) of 0.88.
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References
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