Soybean and Maize Zoning in West African Economic and Monetary Union—A simulation Approach
Bibliographic record
Abstract
The West African Economic and Monetary Union (abbreviated as UEMOA from its name in French: Union Économique et Monétaire Ouest-Africaine) is an organization of eight West African countries: Benin, Burkina Faso, Ivory Coast, Guinea-Bissau, Mali, Niger, Senegal and Togo. This region suffers an agricultural yield gap mainly due to misplanning of crop zoning. Our study aimed to perform an agricultural zoning for maize and soybean in the UEMOA region based on (i) potential yield (carbon dioxide, temperature, photosynthetically active radiation, photoperiod and genotype), (ii) attainable yield, under high crop management and technology inputs and (iii) actual yield. Results show that the UEMOA region is very suitable for growing maize and soybeans; however, a large gap exists between attainable and actual yields. It is shown that the adoption of better management and technology strategies is a way to greatly increase local yields.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".