Impact of Production Practices on Organoleptic Intensity Scale of Different Rice Cultivars
Bibliographic record
Abstract
The purpose of this research was to relate mean organoleptic scores of organically and conventionally grown rice (n = 5) in japonica cultivars (Taikeng No. 16 and Kaohsiung No. 139). The 0-7 organoleptic scale is used in trials to measure the agronomic practices impact on sensory attributes of rice cultivars. However, the precise relationship between farming system and organoleptic analysis of rice remains independent variables. Judges (n = 10) used a common 0-7 scale to report the 6 sensory attributes viz. appearance, aroma, flavor, cohesion, hardness and overall acceptability while keeping cultivar Taikeng No. 9 as control. The scale ranges from – 3 to + 3 as very poor to excellent. The study demonstrates sensory attributes as inherited trait of rice; while no improvement found in cooking and eating quality under seasonal or agronomic variations. Interestingly, the aroma was reported as only better parameter when grown under organic farming compared to conventional farming (– 0.49 and – 0.62 over control, respectively). Also, the positive co-relationship exists between amylose content and organoleptic analysis while antagonistic link to crude protein content. The study cleared that management method, per se, did not influence any flavory attributes and detected no changes by the sensory panel. Further descriptive analysis needed with different conditions such as variety, degree of milling, growing location and moisture content which also played significant role in determining flavor and eating quality of rice cultivars.
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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".