Effect of Hot Air Oven and Microwave Oven Drying on Production of Quality Dry Flowers of Dutch Roses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The present investigation was conducted to evaluate different oven drying methods for obtaining better quality dried flowers of four Dutch rose cultivars viz., Skyline, Lambada, Ravel’ and First Red. Flowers dried at 40°C in hot air oven with silica gel were more acceptable for colour (3.48), appearance (3.50) and texture (3.23). Flowers dried by non-embedding method took least time (52.32 hours) for drying compared to embedded method. Flowers of ‘Lambada’ dried without embedding took least time for drying (52.07 hours) in hot air oven compared to other cultivars. Quality parameters such as colour (3.48), appearance (3.51) and texture (3.29) were superior in flowers dried for 2.5 minutes in microwave oven by embedding in silica gel. Flowers of ‘Lambada’ dried for 2.5 minutes by embedding in silica gel were best for overall acceptability, while unacceptable quality was obtained in case of flowers dried without any embedding medium. With respect to mode of desiccation, embedded drying was best for quality parameters viz., colour (2.92), appearance (2.81) and texture (2.55); however, non-embedding methods were least acceptable for quality parameters. Flowers of cv. ‘Lambada’ dried by embedding in silica gel yielded best quality dried flowers as it scored maximum point for all the quality parameters studied.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it