Identification of Pineapple Fruit Rot Disease in Kubu Raya, West Borneo
Bibliographic record
Abstract
Pineapple productivity in West Borneo ranks second after bananas. One of the obstacles in pineapple cultivation is the presence of diseases that attack pineapple plantations. Symptoms of pineapple plant disease are an indication that the plant is attacked by pathogens. This study aims to identify pathogens that cause rot symptoms in pineapple fruit. The methods used in this study include surveys, survey evaluations, observation of symptoms in pineapple plantations, and laboratory tests of pathogens that cause pineapple fruit rot disease in Kubu Raya, West Borneo. Sampling was carried out by purposive sampling on pineapples with rot symptoms. Based on the results of the study obtained, it shows that the symptoms of pineapple fruit rot disease are characterized by the presence of soft rot that is blackish brown in color, rotten inside and emits a distinctive odor. Pineapple fruit rot is caused by the pathogens Curvularia sp. and Fusarium sp.
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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".