Experimental investigation of shrouded tomato storage systems in mitigating losses during long-distance transportation
Bibliographic record
Abstract
Postharvest handling is an important step in maintaining quality of fresh agro-produces during transportation and storage. A study on handling of fresh tomatoes using modified atmospheric packaging was done in plastic crates during logistics and storage to minimize the postharvest losses and to enhance the shelf life of the produce. Tomatoes were placed in crates and shroud system was developed with two types of packaging materials namely, polypropylene and low-density polyethylene of 75 μ thickness. Once the shrouds were filled with modified atmosphere of two different compositions, they were transported to two different transport distances. After transportation, the physico-chemical parameters were evaluated for the tomatoes stored at refrigerated temperature of 10 ± 2 °C for 21 days. The extended shelf-life of the tomatoes were found in the MAP system with crates, analysed using atmospheric composition of 10% CO 2 , 10% O 2 and 80% N 2 of 70 km distance with 75 μ polypropylene film, stored at refrigeration temperature. The results showed physiological weight loss of 0.84%, decay percentage of 7.9 %, color value (a∗) of 25.12, firmness value of 13.84 N, ascorbic acid content of 21.84 mg/100g and lycopene content of 4.86 mg/100g. This indicates modified atmospheric packaging reduced firmness loss and delayed colour evolution, biosynthesis of lycopene, physiological loss and increased the shelf life and quality of tomatoes.
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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".