Review of the Mechanisms, Pros and Cons of Some Drying Technologies Applicable to Agricultural Food Products' Processing
Bibliographic record
Abstract
ABSTRACT Drying of agricultural food products is an essential unit operation that aims at preventing the alteration of the product's microstructure due to moisture and microbial activities, which invariably deters the shelf life of agricultural food products. This review presents the drying mechanisms of agricultural food products with a critical assessment of drying applications, from first‐generation sun drying and shade drying methodologies to contemporary approaches like freeze‐drying, infrared drying, microwave drying, spray drying, foam‐mat drying, electrohydrodynamic drying, and a combination of some drying technologies like hot air with infrared, vacuum, ultrasound‐assisted vacuum, and microwave drying methods. This review also identified the advantages, limitations, and future prospects of each drying application, with a keen interest in the drying time and quality of the agricultural food end products. This review presents guiding information that could aid in selecting a suitable drying method that will not only be relatively economical but will also yield end products with desirable qualities.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".