Abstract
The application of digital image processing for grading of pot plants has been studied. Different techniques e.q. plant part identification based on knowledge based segmentation, have been developed to measure features of plants in different growth stage. Growth experiments were performed to identify grading features and to test whether it is possible to grade pot plants in homogeneous groups. Judgement experiments were performed to test whether it is possible to grade plants as good as man do. For the grading experiments decision models based on regression equations and neural networks have been developed.
| Original language | English |
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| Qualification | Doctor of Philosophy |
| Awarding Institution | |
| Supervisors/Advisors |
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| Award date | 22 Dec 1994 |
| Place of Publication | S.l. |
| Publisher | |
| Print ISBNs | 9789054853374 |
| Publication status | Published - 1994 |
Keywords
- remote sensing
- image processing
- pot plants
- quality
- performance
- indoor culture