Agroclimatic Zoning for the Palm Euterpe edulis M. in São Paulo State, Brazil
Bibliographic record
Abstract
The Juçara palm is native to the Brazilian Atlantic Forest and has significant commercial and environmental potential. Its multiple end-uses have encouraged studies on its climatic requirements, especially in the state of São Paulo, Brazil, where its presence is currently limited due to illegal exploitation. The objective of this study was to conduct an agroclimatic zoning of the Juçara palm tree in São Paulo. Meteorological data from 110 government stations, the Rural Environmental Registry (CAR) and ArcGIS® 10.4 geotechnical tools were used to show temperature, precipitation, and water deficit data in map-like visualizations for reclassified an agroclimatic zoning. A significant proportion of São Paulo State is considered suitable and viable for the Juçara palm, mainly in the south-central and eastern parts of the state and including regions adjacent to large population centers. Considering sufficient economic return, irrigation can be used in regions that are at the lowest limit of the plant’s water demand. For areas where the upper-temperature limit exceeds the recommended temperature for the plant, its cultivation/management should be explored as part of agroforestry systems. Based on our analysis, the CAR environmental registry is effective in identifying areas for the implementation of agroforestry systems.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| 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) | 0.001 | 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".