Determining Optimum Harvesting Date
Bibliographic record
Abstract
Study was conducted during two consecutive years 2015 and 2016 at the fruit laboratory of Horticultural Research Station, Rajikot, Jumla to determine the optimum harvesting date of 'Red Delicious' apple grafted on crab apple (Malus baccata Borkh.). Fruit samples were collected from 40 years old trees planted in Gairagaun farm at 2,406 meter above mean sea level altitude. Samples were taken on weekly interval from four trees as a replication and a total of eight fruits per tree per picking were collected from the branches located at east, west, north and south directions (two fruits per branch). Fruits sample were harvested at weekly intervals started from 19th August and continued till 23rd September. Fruit weight, fruit diameter, fruit length, fruit shape index, total soluble solid (TSS), titratable acidity (TA), TSS/TA ratio, starch index (SI) was recorded in every sampling date. The study results revealed that fruit of 'Red Delicious' apple can be harvested from 2nd September and onwards since at that date TSS, TA, TSS/TA and SI were 12.00%, 0.30%, 40.10% and 4.00% respectively. Therefore, this study recommends the apple growers of Jumla and similar climatic tract to harvest 'Red Delicious' apple from 2nd September and onwards.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".