Nitrate Content in Potatoes Cultivated in Contaminated Groundwater Areas
Bibliographic record
Abstract
For a number of years Dravsko polje plain has been subject to intensive farming. Consequently, groundwater in this area is heavily contaminated with nitrates and pesticides. The goal of the study was to determine the quality of potatoes, based on nitrate levels cultivated in an area of contaminated groundwater. We also examined the influence of sustainable agriculture on the quality of crops. Nitrate content was determined using RP/HPLC/UV chromatography. Average nitrate content in potatoes cultivated on Dravsko polje plain was 157 mg/kg (range 18-429 mg/kg), which was not significantly different from the nitrate content in potatoes cultivated outside the contaminated area (mean value 145 mg/kg; range 28-448 mg/kg). In 18% of all samples, nitrate content exceeded maximum recommended levels. In potatoes cultivated via integrated production nitrate content did not significantly differ from the one in conventionally cultivated potatoes. In contrast, organic potatoes contained lower levels of nitrates (range 14-156 mg/kg). Our results also show that individual potato varieties are characterized by different trends of nitrate accumulation. Strict adherence to sustainable agriculture is reflected in lower levels of nitrate in potatoes.
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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 | 0.000 | 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 | 0.000 |
| 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".