Articles
MEASURING QUALITY POTENTIAL OF HALF-GROWN POT-PLANTS
Article number
562_8
Pages
83 – 89
Language
English
Abstract
The objective of the research was to establish, whether it would be possible to train an automatic system to predict the final quality of a pot plant, based on features measured on half-grown plants.
Pot roses and Hibiscus plants were used.
Images were taken of plants at a half-grown stage, the plants were allowed to grow into marketable plants, after which they were sorted by experts.
Correlation between the features, measured on the half-grown plants and the final quality were tested using linear discrimination.
For pot-roses, a reasonable correlation was found, provided the plants were classified into two classes.
For Hibiscus, the material available in this experiment proved too little to establish a correlation.
Pot roses and Hibiscus plants were used.
Images were taken of plants at a half-grown stage, the plants were allowed to grow into marketable plants, after which they were sorted by experts.
Correlation between the features, measured on the half-grown plants and the final quality were tested using linear discrimination.
For pot-roses, a reasonable correlation was found, provided the plants were classified into two classes.
For Hibiscus, the material available in this experiment proved too little to establish a correlation.
Authors
B.S. Bennedsen, H. Moth-Poulsen
Keywords
Automatic sorting, image processing, pot plant, plant quality, Pot Rose, Hibiscus
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