Integrated water resources management: a case study of on-farm water use for potato processing
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
Integrated water resources management (IWRM) is described as a holistic approach to manage water efficiently, equitably, and sustainably. This paper presents a case study where cooperative strategy building among diverse stakeholders (researchers, potato farmers, and government regulators) resulted in significant water conservation for the on-farm washing of potatoes on a large potato operation (31% reduction per unit of potatoes sold). Water was reduced by applying modified IWRM methods, including (i) goal setting, where common goals with all three parties were outlined; (ii) initial assessment, where farm water use was monitored in detail for one year; (iii) cooperative strategy building, where monitoring results were presented and potential water-use reduction strategies were brainstormed; (iv) implementation, where strategies were put into place on the farm; and (v) final assessment, where water use was monitored for a second year, after conservation strategies were in place, and the efficacy of the strategies was determined. This case study demonstrates the value of IWRM, through cooperation among researchers, farmers, and the regulators, for improving water management in agriculture.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 it