PRODUCTIVE, ECONOMIC AND SOCIAL INDICATORS OF SOME CROPS IN THE SOUTH VALLEY
Notice bibliographique
Résumé
After the construction of the High Dam, the High Dam Lake was formed and is one of the largest freshwater lakes in the world, extending for a length of 500 km between Egypt and Sudan, Of which 350 km are located on the Egyptian side, 150 km on the Sudanese side and the average width is about 10 km, which is the strategic water reservoir for Egypt, where the lake capacity ranges between 31, 169 billion cubic meters (Ministry of Water Resources and Irrigation, 2006). The South Valley region is one of the new industrial and agricultural development areas that attracted investors as a result of its virgin lands and an unspoiled climate. As a result of these investments, societies have emerged along Lake Nasser in the south of the valley. However, these societies have faced the problem of weak potentials of small farmers in the south of the valley, despite the fertility of the cultivated areas and their high productivity. Therefore, the research aimed to study the economic and productive indicators of some crops (melons and tomatoes) in the study area, And identify the most important obstacles affecting agricultural activity, and the reasons for the weak capabilities of small farmers in the study area. The research dealt with a descriptive and quantitative analysis method to process the data obtained by designing a questionnaire containing a number of questions aimed at identifying the average net income of a family from agricultural activity such as acre productivity and net income for watermelon and tomato crops in the south of the valley, The cultivated areas were divided into three levels according to the farm capacity (small farm capacities less than 3 acres and medium farm capacities from 3-10 acres and large farm capacities greater than 10 acres) in order to reach an estimate of the value of productive and economic indicators of agricultural activity and to identify the most important obstacles facing activity Agricultural and how to put in place the appropriate mechanism to solve these obstacles, Approximately 90% of the 120 subjects in the South Valley responded to the questionnaire during the winter season 2018. The study concluded that the statistical significance of the differences between the averages of the net acres of tomato yield estimated at 11,500 pounds in different farm capacities has increased, and this significance has returned to the increase in the net yield of the small farm capacity for medium and large capacities, as well as an increase in the average farm capacity for the largest and the significance of these differences at the level of Moral 0.001. This may be due to the interest of the study sample farmers in the different production stages, and hence the rise in the total revenue per acre, as there has been an increase in crop prices from previous years. The statistic of the average net acre yield of watermelon crop between different farm capacities, which was estimated at 14916.7 pounds. The research recommended the necessity of supporting and providing municipal, chemical fertilizers and fuel materials, and work to provide cars for the collection and transportation of agricultural products to reduce transportation and marketing costs in the study area.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».