Soil Nitrogen Phosphorus and Tea Leaf Growth in Organic and Conventional Farming of Selected Fields at Sabah Tea Plantation Slope
Bibliographic record
Abstract
A comparative study of organic and conventional farming system at three different slope sections was conducted in Sabah Tea Plantation to determine the effect of management practices and slope section on soil nitrogen, phosphorus and pH as well as tea leaves size. Soils from two selected fields; B29 (conventional field) and NO3 (organic field) in Sabah Tea Plantation were analyzed using selected soil analysis method with UV spectrophotometer. Organic farming system resulted in significantly higher level of soil pH (4.14), leaf length (15.14 cm) and leaf width (7.33 cm) than conventional farming system soil pH (3.38), leaf length (13.19 cm) and leaf width (5.58 cm). However, conventional farming system produced higher levels of ammonium content (166.16 µg ml-1) than organic farming system (22.56 µg ml1). No significant difference in soil Phosphorus and nitrate content were observed between two farming systems. Results also showed no significant effects of slope sections on all parameters studied. This study has provided basic knowledge on soil Nnitrogen, phosphorus as well as tea growth of organic and conventional farming in Sabah Tea Plantation.
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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 | 0.000 |
| 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) | 0.001 | 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".