Qualitative Sorting of Potatoes by Color Analysis in Machine Vision System
Bibliographic record
Abstract
Machine vision system is a modern technique that is used for grading of wide range of agricultural crops. Objective of this research is qualitative sorting of potatoes by means of lighting chamber, Camera, frame grabber and computer for catching proper images and analysis of them by MATLAB software. 110 numbers of Agria potatoes were selected randomly and placed in same lighting conditions. The images were transferred by frame grabber to computer memory to be analyzed. The samples had been pre-graded in the same face witch were placed in lighting chamber and percentage of health class was recorded. By performing pre-processing techniques on images, the compound of HSV color space and logarithmic transformation by coefficient of 0.5 was selected. The correction coefficient of health class of pre-graded method and results of implementing algorithm was 0.989 that it was the highest. Qualitative sorting accuracy in this method was 96.54%.
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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 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".