Evaluation of spray deposition in potatoes using various spray delivery systems
Bibliographic record
Abstract
The tomatopotato psyllid incurs high control costs through intensive spraying and other treatments A field study was conducted in March 2012 in Pukekohe New Zealand to evaluate the pesticide deposition potential of five different spray delivery systems The treatments included a conventional boom a canopy submerged drop sprayer combination a pneumatic electrostatic spraying system an airassisted rotary atomizer and a highvolume airassist boom Each system was calibrated for appropriate spray volume rates between 167 and 400 litres/ha Rhodamine WT fluorescent dye used as a tracer was sampled on folded Kromekote sampling cards oriented flat and horizontally above central to and below the canopy Spray coverage rates were quantified at designated heights adjacent to leaves to assess deposition throughout the potato canopy All treatments that consisted of one or more novel technologies consistently gave higher coverage to the underside of the potato leaves than with the conventional boom
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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".