Disposal of Pesticide Wastes in Apple Orchards in the South of Brazil and Its Compliance With Current Legislation
Bibliographic record
Abstract
This research aimed to verify how the disposal of pesticide wastes occurs in apple orchards (Malus domestica) in the south of Brazil and to verify its compliance with current legislation. This was a quantitative, descriptive and prospective field study. The research was carried out with 82 farmers from two rural areas belonging to the municipality of São Joaquim, the largest Brazilian apple producer, located in the Serrano Plateau of the State of Santa Catarina, southern Brazil. The farmers were interviewed at home and questioned about the disposal of empty pesticide containers. The results of this research showed that most farmers carry out the proper management of the empty pesticide containers and return them to the collection stations or centers (85.5%), the other 8.5% dispose empty containers inappropriately, keeping them in the open air or burning them. It should be noted that 20.7% of farmers store these containers in the open air until they are delivered to the collection stations without any protection and exposed to people and animals. In addition, it was observed that individuals without any level of education tend to store empty containers inadequately. Thus, despite the fact that Brazil is a world reference in terms of the proper disposal of empty pesticide containers, there are still cases of non-compliance with the current legislation in relation to these procedures, and there is a need for technical guidance to workers, especially those with lower levels of education, as well as greater rigor of the legislation of supervision by the competent body.
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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 | 0.000 | 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 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".