The Impact on Farm Profitability and Yield Efficiency of Bell Pepper Production of the Methyl Bromide Phase-Out Program in Georgia
Bibliographic record
Abstract
The elimination of methyl bromide (MeBr) has been a hot topic for policymakers for more than a decade. As a result, of the Montreal Protocol on Substances that Deplete the Ozone Layer, signatory nations began implementing guidelines aimed at reducing or eliminating a variety of toxic substances, including MeBr, which has been identified as one of the toxic contributors to ozone depletion. In 1997 the Ninth Meeting of the Parties in Montreal recommended an accelerated phase-out schedule for MeBr. The accelerated phase-out program is a major concern to most U.S. farmers, and in particular to farmers in Georgia, where the product is used not only as an important soil fumigant but also to control both the yellow and purple nutsedge (Cyperus sp.). Furthermore, this chemical is used for the production of most of Georgia's economically important vegetable crops such as cucumber, eggplant, green pepper, tomato, squash, and zucchini. If MeBr is phased out without alternatives, the production of these crops will be impossible under Georgia weather conditions. The adverse economic impact to the State of Georgia will be devastating. Although most of the data used in previous economic-impact analyses regarding the elimination of MeBr has been obtained through the testing of tomatoes and strawberries in Florida and California, this study-which focuses on bell pepper production-is aimed at evaluating the economics of three alternative fumigants and herbicides and determining which alternative will provide the best yield, quality, and profitability for bell pepper in the absence of MeBr. An enterprise budget analysis revealed that C35 and KPAM provided the highest net returns: $1,768/acre.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".