Measurement of Physical Dimensions of Mung Bean
Bibliographic record
Abstract
Physical dimensions of mung bean (Vigna radiate) are essential to design equipment for handling, conveying, separation, drying, aeration, storage and processing of mung bean. Physical dimensions (area, perimeter, maximum radius, minimum radius, mean radius, major axis length and minor axis length) were measured as a function of moisture content in the range of 9.9 to 18.3% w.b. using digital image processing technique. Four hundred and fifty individual kernels were selected randomly for each moisture content and colour image of individual kernels using a digital camera. Of the seven morphological features analyzed, four features (area, perimeter, maximum radius and mean radius) of mung bean were significantly (α=0.05) different at different moisture contents. These four features increased linearly with increase in moisture content of grain. Minimum radius and length of the mung bean kernel did not show significant change (α = 0.05) with increase in moisture content from 9.9 to 18.3% w.b.
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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 | 0.000 | 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) | 0.000 | 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".