Economic Viability and Profitability of Lettuce in Hydroponic System Using Different Effluents
Bibliographic record
Abstract
The hydroponic cultivation Lactuca sativa L. can offer producers greater economic profitability, fast financial return due to sanitary and nutritional quality. The objective of this study was to analyze the economic feasibility and profitability indicators of three cultivars of curly lettuce in a hydroponic system using different effluents and well water. The experiment was conducted in a protected environment of the State University of Paraíba-UEPB, Campus-II, in the municipality of Lagoa Seca-Paraíba. Experimental design was in a randomized blocks with plots subdivided in a 7 × 3 factorial scheme, with three replications whose factors were 7 hydroponic solutions and three lettuce cultivars. Variables analyzed included gross revenue; gross margin effective and total operating cost; gross margin total cost of production; leveling point effective operating Cost, total production; operating profit and profitability index. The cultivars: Verônica, Vanda and Thais presented the highest gross revenue and profitability index when irrigated with the Furlani solution (S1).
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".