Seasonal Incidence of Fall Army Worm <i>Spodoptera Frugiperda</i> (J E Smith) on Maize
Bibliographic record
Abstract
Investigation on seasonal incidence of fall army worm Spodoptera frugiperda on maize was undertaken at the Department of Entomology, VNMKV, Parbhani. The studies were done during kharif on the maize variety Komal. Laval incidence was observed from 31st SMW (Standard Meteorological Week) i.e. fifth week of July and to till 43rd SMW i.e. fourth week of October with a peak incidence observed (4.05 larvae/plant) during 39th SMW. Thereafter larval count showed declining trend (1.9 larvae/plant) during 42nd SMW. Larval infestation also recorded in %age and under observation highest infestation 38.98% during 39th SMW i.e. fourth week of September. The correlation between larval incidence and weather parameters was showed negatively non-significant with minimum temperature, evening relative humidity and rainfall, whereas positive relationship was observed with maximum temperature and bright sunshine hours. The correlation with morning relative humidity evaporation with FAW population wee positively and negativity significant respectively evaporation was negative significant.
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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 | 0.000 |
| 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) | 0.001 | 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".