Field evaluation of centre pivot sprinkler irrigation system in the North-East of Iran
Bibliographic record
Abstract
Abstract A field evaluation of the technical performance of centre pivot sprinkler irrigation system was carried out during the maize crop growing season and when operating with different working speeds: S1 - 40%, S2 - 60% and S3 - 80%. For this goal, four uniformity measurements are to be considered in the evaluation; coefficient of uniformity (CU), distribution uniformity (DU), potential efficiency of low quarter application (PELQ) and actual efficiency of low quarter application (AELQ). The first step of evaluation of the sprinkler irrigation system is to compare the measured uniformity values with the standard values, DU ≥ 75%, CU ≥ 85%, AELQ and PELQ ≥ 90%. Effect of variation of speed produced CU values of 80.3, 82.7 and 86% for S1, S2, and S3 speed, respectively. Furthermore, DU standard value was obtained at S3 speed of 82%. Moreover, AELQ and PELQ were below the acceptable standard level of 90% for all speeds. Non-uniform water application leads to over or under irrigation in various parts of the field which can result in wasted water and energy. Therefore, regular evaluation of the irrigation equipments is needed to efficiently and effectively manage irrigation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".