Payback period in cranberry associated with a wireless irrigation technology
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A payback (PB) period calculation study was performed to evaluate the relevance of using a real-time tensiometer technology to manage irrigation in cranberries. By using wireless tensiometers collecting real-time information at different locations in the field, growers can avoid over or under irrigating some of their beds. They can also identify underlying subsurface hydrological processes that may affect crop growth. The study is based on a survey of problems encountered in the field and on the yield response associated with changes in irrigation practices in case studies and research experiments. It shows that the gains associated with the use of real-time wireless tensiometers and subsequent modifications made to drainage and irrigation in some of the beds generated a PB within a year, in most scenarios, with the price of cranberries between CAN$0.12 and $0.38 lb−1, for farm operations covering 20–400 ha (50–1000 acres).
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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 | 0.001 |
| 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 it