Assessment of Factors Influencing the Use of Inorganic Fertilizers by Smallholder Farmers in Rwamagana RW-34 Scheme
Bibliographic record
Abstract
This study used qualitative and quantitative analysis to assess the factors influencing the use of inorganic fertilizers among small holder farmers. This research was conducted in Eastern province, Rwamagana district, in one of eight irrigated scheme called Rwamagana RW-34. The two stage purposive sampling method was performed to select 200 households’ respondents from four sectors as sample size. Descriptive statistics, logistic regression and correlation analysis were used. Regression results revealed that family size has highly significant effect (p=0.010) on use of inorganic fertilizer and has negative relationship with use of inorganic fertilizer. Education level of household and access to extension service were found significant (p=0.1) with positive relationship. Off farm income of household and cooperative membership of household were found significant (p=0.05) with positive relationship with use of inorganic fertilizer. However distance travelled by household to nearest agro-dealer was found significant (p=0.1) with negative relationship with use of inorganic fertilizer. Much emphasize should be put in educating rural population, encouraging farmers to create functional cooperatives, promote training and extension services, creating more off farms employment and decentralize the agro dealers to cell level.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".