Increased net profits result from greenhouse-grown colored pepper compared to field production in Florida
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The United States is one of few countries where the majority of bell peppers (Capsicum annuum L.) produced are green colored and grown on raised beds with mulch and drip irrigation. Outside the U.S., most peppers are grown in greenhouses and harvested as mature, colored peppers that receive a premium value at market. Florida bell pepper producers are in direct competition with Mexico, Israel, and Spain due to overlapping seasons in the winter months, while greenhouse producers in Canada and Holland are able to enter the U.S. market during the spring, summer, and early fall. Greenhouse vegetable production could be one alternative to field production of bell peppers for Florida fresh market vegetable growers. The objective of this study was to determine the costs and benefits associated with greenhouse pepper production. Through the use of software (SIMETAR©), a budget analysis model was created for greenhouse bell pepper production. Although greenhouse production requires a significantly larger capital investment compared to field production, potential profits from growing colored peppers have been determined to be as much as four times greater in greenhouse production than from field production ($15,166/acre compared to $3,289/acre, respectively). Greenhouse production may allow Florida growers searching for alternatives to field production a viable alternative to stay competitive in the U.S. fresh vegetable market.
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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 | 0.000 | 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) | 0.000 | 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 it