Response of Ozone Treatment on Disease Incidence, Dissolved Oxygen Levels, Growth and Yield of Cucumber Crop Grown in Hydroponics in Cooled Green House. Season: Summer (June-August) at DGALR, Rumais
Bibliographic record
Abstract
One of the main concerns related to closed systems is the potential spread of root pathogens. With the recirculation of nutrient solutions. Ozone treatment was tested for the efficacy against plant pathogen (Pythium), growth and yield of cucumber crop grown in hydroponic closed system during summer season (June-August) 2022. Two nutrient solution feeding tanks were used one with ozone treatment and other without ozone treatment in randomized complete design (RCD) with four replication. The results showed significant (p < 0.05) differences were observed between the treatments in diseases infections with pythium diseases. No significant (p < 0.05) differences were detected in chlorophyll content, as SPAD values and yield between the two treatment of cucumber statistically. Ozone treated plants produced more yield 4.0 ton/gh.
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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 | 0.000 | 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) | 0.002 | 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".