Mass-Heater Supplemented Greenhouse Dryer for Post-Harvest Preservation in Developing Countries
Bibliographic record
Abstract
A mass-heater supplemented greenhouse dryer is shown to be an adaptable technology to post-harvest preservation problems in developing countries. Inadequate harvest preservation in these countries often leads to a cycle of bumper harvest and production cutbacks, famine, inability of famers to get their harvest to the market, low quality of exports, and low agro-processing. Drying is a preservation technique that is readily adaptable for developing countries, and the earliest form of this method, open air drying, is still predominant. Rigorous designs are not always possible or economical, but the greenhouse dryer will always outperform open air drying irrespective of the quality of its design. Greenhouse dryer design parameters are identified, and guidelines for optimizing performance are provided. Mass-heaters based on rocket or top-lit-up-draft heaters, fueled by agricultural wastes, are proposed as supplementary heat sources when the sun is not available at night or during cloudy periods.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".