Prof. Dr. Ehsan Rashid Memorial Lectures :Meeting Food Security €“ Gm Or Organic Way?
Notice bibliographique
Résumé
Agricultural sector is still the largest sector of the Pakistan economy contributing almost one-fifth to the GDP and providing employment to a little less than half the total employed labor force. Trends in agriculture growth reflect that agriculture grew at an average rate of 4.4 per cent per annum during the 1990s. During the 2000 decade the rate of growth of the agricultural sector has been quite erratic, ranging between -2.7 per cent to 6.5 per cent. The pathetic performance is also on account of the fact that no investments were made in the agricultural sector that would increase the crop yield. Water which is a crucial input is quite deficient and no investments have been made in water development projects, farm to market roads, power development projects, storage and warehousing facilities, etc. The performance of the agriculture sector was stronger than expected during 2004-05 and 2005-06; but from 2006-07 onwards agricultural growth started declining. The decline continued till 2012-13, in spite of substantial increase in support prices of agricultural products in 2008, by the previous government. Violent fluctuations in the production of five major crops occurred during the period 2003-4 to 20012-13. A high rate of growth in one year was followed by a negative growth rate in the following year. These fluctuating growth rates of major crops reflects the following: One, that Pakistan’s agriculture is totally at the mercy of the weather. Second, that the high support prices of agricultural crops announced in 2008 did nothing to boost agricultural growth. Third, poor management of the Pakistan economy. As a result of declines in major food crops like wheat, lentils and vegetables, Pakistan is becoming food insecure. The country has been importing these products from abroad. A recent IOBM survey of major food retailers in Karachi indicated that we are importing wheat from Russia, lentils from Australia, Canada and India and vegetables from India. Major Genetically Modified (GM) producing countries are highlighted in green in Figure 1. The worrying thing is that with the exception of Russia which exports wheat to Pakistan, all countries exporting lentils and vegetables to Pakistan like Australia, Canada and India are GM producing areas.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,001 | 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 | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».