A Microcontroller-Based Monitoring System for Batch Tea Dryer
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents an automated tea dryer system based on programmable controller which controls moisture contentof the tea leaves and temperature of the chamber in different stages of drying. Several techniques were used for teadrying systems according to the tea genres. The batch tea dryer is designed with 6 to 8 trays. The temperature above thetrays is controlled between 50ºC and 100ºC. Moreover, the moisture content of the tea leaves declined from around 68%to approximately under 3%. In addition, the temperature of the leaves increased from a little less than 30ºC to 80ºC. Amicrocontroller as the main processor was deployed to process received data from sensors and also it provides controlsignals. Thus, this system equipped a data logger memory to record data during drying process. The analyses of dryerproducts shown the feasibility of using propose system for batch tea drying.
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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 | 0.000 |
| 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 | 0.002 | 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