Environmental Sustainability and Food Safety of the Practice of Urban Agriculture in Great Bandung
Bibliographic record
Abstract
Urban farming activities is markedly increasing with expectation to strengthen the food security in the cities, however, the crop safety and the environmental sustainability of farming activities is questioned.To address environmental sustainability, examination of river water quality and pesticide residue both in the water and crop production in periurban areas of Great Bandung were carried out.STORET index were used to identify the quality of water source with reference to Indonesia Ministry of Environment as well as the biodiversity index to ensure the health of aquatic ecosystem.The results showed that the urban farming practices had utilized clean and uncontaminated water sources to irrigate the land.The good quality of water sources could be maintained even after urban farming activities.The diversity of plankton and macrozoobenthos were relatively increasing, with low-medium level of diversity (H' index = 0.3 -2.9), even in the downstream areas after farming land.None of pesticide residues were found in the crop products.The crops from peri-urban farming of the Great Bandung were safely consumed.Meanwhile, the sustainability of urban farming in the peripheral areas of Great Bandung might be lasted so far as the upstream river pollution from the city could be well-maintained.
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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 | 0.001 | 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".