Spatio-Temporal Dynamics of Climatological Variables in the Aid of Decision Making for Irrigated Agriculture
Bibliographic record
Abstract
The knowledge of the spatial-temporal dynamics of evapotranspiration is of great importance for the accomplishment of agroclimatic zoning and, therefore, for the design of irrigation systems and management of water use in irrigated perimeters. In this context, this study aimed to generate, with the aid of geotechnologies, information that can support irrigation systems planning and design, based on the temporal distribution of daily climatological normals and on evapotranspiration mapping for the irrigated perimeter of Gorutuba/MG. Climatic data were obtained from the meteorological station of the National Institute of Meteorology (INMET) of the municipality of Janaúba/MG in the period from 1985 to 2014. It was verified the non-tendentiousness and the temporal dependence of the climate data using variogram analysis and the temporal dependence index, respectively. For the interpolation, it was used ordinary kriging. The evapotranspiration mapping was conducted from 180 monthly images, from 2000 to 2014, of the MODIS sensor MOD16A product. The results generated for the irrigated perimeter provided relevant information for decision making of the irrigated agriculture management.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".