Profitability of Small-Scale Integrated Fish-Rice-Poultry Farms in Cameroon
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
There are increasing efforts from diverse national and international stakeholders promoting integrated aquaculture for its merit in meeting triple needs of food production, social relevance and environmental stability. This research studies 120 aquaculture producers in the Southwest and Northwest regions of Cameroon. The hypothesis is that socioeconomic parameters influence farmers’ selection of an enterprise mix amongst fish-rice-poultry that will maximize revenue. A revenue equation is estimated by imposing a Cobb-Douglas functional form. About 35% of farmers practiced integrated systems, and for those that did not practice in situ – integrated systems, about 65% undertook these different enterprises at different times within the same calendar year. The combination of poultry into fish-rice enterprises is practised as a means to increase farm income through better resource utilization. The systems are overall profitable. When integration is undertaken for two systems either as fish cum rice, fish cum poultry or rice cum poultry farmers realize annual net returns of 428,630 FCFA (US$ 857); 785,650 FCFA (US$ 1,571) and 865,990 FCFA (US$ 1,732), respectively. The highest profits of 965,270 FCFA (US$ 1,931) are obtained in the complete fish-rice-poultry system. Econometric estimates of the revenue function reveal positive and direct relationship with farm revenue for socioeconomic parameters such as plot size, labour, credit, education, land tenure, access to extension and enterprise integration. For dissemination and adoption of this technology there is need for training that exploit pond management and marketing of products from the system.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it