Evaluation of Crop Production Practices by Farmers in Tshakhuma, Tshiombo and Rabali Areas in Limpopo Province of South Africa
Bibliographic record
Abstract
Limpopo Province is characterised by high climatic variability. This is a serious problem in Limpopo Province considering the fact that the province is in a semi-arid area with low, unreliable rainfall. The rainfall distribution pattern, for example, in the Vhembe district is characterised by wet and dry periods depending on the geographical location. In the Vhembe district high rainfall is usually experienced in the Tshakhuma and Levubu areas. Most of the rainfall received in the Vhembe district is in the form of thunderstorms and showers, and this makes rainfall in the district vary considerably. The impact of lower rainfall has negative effects on the agricultural sector, low rainfall resulting in decreases in agricultural activities, loss of livestock, shortage of drinking water, low yields and shortage of seeds for subsequent cultivation. For example, farmers in Rabali area are supposed to use hybrid seeds due to lack of sufficient irrigation water and also poor rainfall distribution compared to farmers in areas such as Tshakhuma and Tshiombo areas.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".