The Agroclimatic Suitability of Growing Dates, Bananas, and Grapes in Egypt Using GIS
Bibliographic record
Abstract
In recent years Egypt has experienced a significant increase in fruit tree planting. During the period 1968 to 1991 185 560 ha of land were planted with fruit trees (an increase of 334.95%). Unfortunately this increase did not take into account the agroclimatic suitability of fruit types in general and of date trees, grape vines, and banana trees in particular. Based on the criteria for agroclimatic suitability introduced by the Egyptian Ministry of Agriculture (Ministry of Agriculture 1995), the results of the research reported in this paper show that only 35% of date trees, 72% of grape vines, and 37% of banana trees were planted in agroclimatically suitable zones. This can be explained by a lack of knowledge about the suitability of agroclimatic zones for each type of tree. Microclimatic factors play a very important role in the production of the various types and species of fruits, as is the case for types of grapes and bananas, as for moist, semi-dry, and dry date tree species. These fruits require a...
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".