Foreign Trade of Wheat Crop in Egypt
Bibliographic record
Abstract
The most important findings and recommendations This search is talking about not keep up with domestic production of wheat crop and high increase in the national consumption of it the size and appearance of a gap between domestic production and national consumption and widening the gap year after year and that the state was forced to import increasing quantities of wheat and flour to fill this deficit This research aims to define the economic importance of foreign trade as well as identify key import wheat crop sources and identify current geographical distribution of imports of wheat in order to re-geographical distribution to reduce the value of these imports. The results showed that the total trade value of the value of total exports and total imports followed a growing trend became a time of agricultural exports and imports value increased as well and that the United States Australia and France are key countries and stable sources for the supply of wheat to Egypt. The results proved that the re-distribution of wheat imports geographically for the first alternative, and on leaving the imported wheat quantities to be distributed freely to various countries as the least expensive and we found that the quantities imported spread over three countries, namely Canada, Turkey, Kazakhstan and the second alternative regards to quit imported quantities of wheat free distribution within each group by country Lowest price and in accordance with the export of energy for these countries, and we found that the quantities imported were distributed to Canada, France, Turkey, Kazakhstan, and the third alternative regard to restricting the model to import 50% of the total amount of the France and the distribution of the rest of the quantities imported in accordance with the state of the least expensive and depending on the energy export for each country, and the rest of the quantities distributed between Turkey and Kazakhstan. Alternative fourth regard to restricting the importation model of the countries where the price per ton of no more than 2110 pounds, and in accordance with export capacity of each country. And distributed quantities imported in three countries, namely Canada, Turkey and Kazakhstan. According to the results of the study we recommend the following: 1- Reduce import of wheat flour imported a pill to take advantage of milling residues in animal feed, poultry and prevent the use of wheat in animal and poultry food. 2- Increase the total exports in general and agriculture in particular, and the targeting of high-price markets to raise export earnings and increase the coverage rate and raise the efficiency of foreign trade. 3- The use of the purchase method of long-term contracts directly with distinct states in wheat production and a stable import and be in the dates of the emergence of the crop as it is the best chance for the contract to the low price.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.006 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".