Statistical Quality Control in Uniformity of Drip Irrigation With Different Slopes
Bibliographic record
Abstract
The topography directly influences the functioning of an irrigation system, being necessary the determination of the uniformity to verify its performance. Statistical quality control is a powerful tool for verifying the quality of a process. Thus, it was aimed to use the statistical control of quality in the evaluation of the uniformity of a drip irrigation system in different slopes. The Christiansen’s uniformity coefficient (UC) and Uniformity of Distribution (UD) were determined and analyzed by the control graphs of Shewhart, Zones and CUSUM and by the indices of process capacity (Cp, Cpl and Cpk), in different slopes (0%, 2% and -2%). The slope irrigation was more uniform (UC = 99.03% and UD = 98.45%), however, for all the graphs studied it was out of statistical control. Zone charts were more sensitive than the CUSUM and Shewhart charts.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".