Production constraints on cocoa agroforestry systems in West and Central Africa: The need for integrated pest management and multi-institutional approaches
Bibliographic record
Abstract
Cocoa-producing countries of West and Central Africa experienced a serious economic crisis in the early 1980s,when the cocoa sector was liberalized and the macroeconomic policies of the sector changed. These institutional changes created new difficulties and challenges for sustainable cocoa farming. Farmers in this region have recently turned to timber and non-timber production to offset the fluctuation of cocoa prices. In a survey of 300 cocoa farmers in the humid forest zone of Southern Cameroon, pest and disease outbreaks were identified as the major limiting factors to sustainable cocoa production. An analysis of pests and diseases affecting the cocoa plantations in the humid forest zone of West and Central Africa revealed strong links to the type of forest cover found on or near the cocoa plantation. An integrated approach to pest management is proposed and the paper concludes with a discussion of current efforts to address constraints posed by pests and diseases on sustainable cocoa farming in the four main cocoa-producing countries of West and Central Africa. Key words: cocoa agroforest, farmer perception, forest landscape, multi-disciplinary approach, multi- institutional approach, Africa
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.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".