Fertilizer Adoption and Use Intensity Among Smallholder Farmers in Northern Ghana: A Case Study of the AGRA Soil Health Project
Why this work is in the frame
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Bibliographic record
Abstract
<p>Northern Ghana is characterized by food insecurity largely due to over reliance on rain-fed agriculture under low farm input conditions. The present study investigated the effect of factors influencing mineral fertilizer adoption and use intensity among smallholder farmers in Northern Ghana. A total of 330 smallholder farmers selected through multi-stage sampling technique were interviewed. Adoption of fertilizer technology was determined by age, nativity, farm size, access to credit, and distance to agricultural office. The result of the truncated regression estimates indicated that income of household head, membership of farmer association, distance to agricultural office, access to input shop, income earning household that do not participate in agricultural development project and income earning male headed household were the significant factors influencing fertilizer use intensity. Distance to agricultural office was a key positive determinant of fertilizer adoption and use intensity. The study recommends improvement in road infrastructure and technical training of agricultural extension agents. Farmer based organization must be trained on regular basis to enhance their productive skills and technology uptake.</p>
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it