Determination of Selected Physical Properties of Egusi Melon (Citrullus colocynthis lanatus) Seeds
Bibliographic record
Abstract
Physical properties of seeds are determined for the purpose of developing a processing system. The aim of this research is to determine those properties that will guide the design of seed dehulling machine. In most West African countries, Egusi is grown as a food and cash crop. However, one of the most important problems is its manual dehulling, which is strenuous and time consuming. At moisture level 7.11 % dry basis, average length, thickness and width of Egusi melon seed were 13.199, 1.853 and 7.924 mm respectively. In moisture range of 7.11 to 38.70 % dry basis, studies revealed that 1000 seed mass increased from 0.0949 to 0.1299 kg and surface area from 25.394 to 27.827 mm2. Sphericity and Porosity of seed decreased from 0.215 to 0.196 and 0.541 to 0.444 respectively, while angle of repose increased from 23.66 to 33.63o. Bulk density rose from 414.006 to 456.339 kg/m3 while true density decreased from 901.515 to 821.668 kg/m3. Coefficient of friction on plywood (0.3388 – 0.3598), metal (0.2767 – 0.3198), aluminium (0.2736 – 0.3172) and PVC (0.2999 – 0.3782) were recorded.
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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 | 0.001 | 0.001 |
| 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".