Drying Kinetics of Tomato Slices in Solar Cabinet Dryer Compared with Open Sun Drying
Bibliographic record
Abstract
Drying performance of a solar cabinet dryer newly developed to dry tomato slices was compared with open sun drying under the climatic conditions of Montreal, Canada. The tomato slices of 4, 6 and 8 mm thicknesses was dried from 94% to 11.5% wet basis moisture content, respectively in 300, 420 and 570 minutes in solar cabinet but it took 435, 615 and 735 minutes in open sun drying. Four thin layer drying models were used to optimize the ‘goodness of fit’. The models were compared using coefficient of determination, chi-square and root mean square error. The page model was found to fit the experimental data better as compared to other models. The moisture diffusivity of tomato slices ranged from 4.25 to 7.67 x 10 -7 m 2 /s in solar cabinet drying and from 3.09 to 9.28 x 10 -9 m 2 /s in open sun drying. Influence of air temperature, relative humidity, solar insolation and wind velocity on drying kinetics of tomato slices was discussed. Analyses on colour, water activity, rehydration ratio and ascorbic acid were also reported.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".