Intercropping Systems in Mango Orchard for Rainfed Area of Central India
Bibliographic record
Abstract
The experiment was conducted to assess the effect of intercrops on growth characters (plant height, girth and canopy area) and yield of main crop mango and vise-versa. The intercrops influenced the growth of main plants and increase in plant height and canopy area of the mango and it was found maximum with paddy followed by black gram intercrops. However, the canopy of the base crop also affects the growth and yield of intercrops and it is observed that the under canopy intercrops performed poor compared to open field. Fruit yield and return out of sold fruits of mango were found maximum with intercrops blakgram. Maximum number of fruits was observed with intercrop blackgram whereas, maximum average fruit weight was found in pigeon pea. The maximum net return, paddy equivalent yield and B:C ratio were obtained from intercrop ginger. The nutrient status of orchard soil also found improved after intercropping.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".