Evaluating Economic Viability of Large Fish Solar Tent Dryers
Bibliographic record
Abstract
Effectiveness of solar tent dryers in agricultural products has been well documented, but this information may not be generalised for use of solar dryers in all agricultural commodities and for all sizes of solar dryers. As such, we evaluated the economic viability of large capital intensive solar dryer that has been designed to dry small fish species on commercial basis on Lake Malawi. A probabilistic net present value (NPV) analysis was applied to a 15-m-long by 8-m-wide solar tent dryer which costs MK1,513,850 (US$2100) to construct and has a maximum carrying capacity 850 kg of fresh fish. The results show that the base NPV of this solar tent dryer is MWK5, 838,482.11 (US$11,762). When risk and uncertainty are considered, the probabilistic NPV becomes MWK12, 268,503 (US$24,716). The probability of obtaining a positive NPV was 58%, and we found that NPV is highly sensitive to total revenue and total cost but not to their components. We conclude that investments in large solar tent dryers are economically viable and that viability would be enhanced through access to formal fish markets where prices are stable and high.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".