Produção agroecológica: estudo da produção de hortaliças orgânicas no município de Silvânia – GO
Notice bibliographique
Résumé
The general objective of this research is to study the production of organic vegetables in the municipality of Silvânia, State of Goiás. For this, we searched, through literature review, studies conducted at local and national level in order to understand about agroecology and organic production, as well as to research the theoretical bases on family farming, a deeply debated concept in literature, and public policies for regional development and support and strengthening of this new social category against conventional food production., Even though family farming remained outside governmental agricultural projects and on the sidelines of public investment, throughout the process of implementing the agricultural technology package, came to be remembered only in the 1990s with the creation of the National Program for the Strengthening of Agriculture Family Farming (PRONAF - Programa Nacional Para o Fortalecimento da Agricultura Familiar). Family Farming adapted very well to the cultivation of organic vegetables, as it is an activity that involves the whole family, uses areas depreciated by large capital, exhibits low entropy production, uses natural practices to produce food in a healthy way, benefiting both the producer as well as the consumer and the environment. Family farming was organized into associations as a way of strengthening and claiming individual and collective improvements; therefore, these associations came together in the creation of a cooperative to enable the commercialization of production. For the collection of information, bibliographic surveys of related works carried out in the research region were accomplished, as well as researches developed at the national level, at the Silvânia Rural Producers’ Mixed Agricultural Cooperative (COOPERSIL - Cooperativa Agropecuária Mista dos Produtores Rurais de Silvânia), as well as testimonials from the people involved in the project and that played a prominent role, both among the producers and among the COOPERSIL board members. These statements were made whenever possible in the rural property where the researcher corroborates the information, besides recording the location of the research by means of photography. Understanding public policies for the promotion of food security as well as family farm food acquisition programs are thermometers for the viability of agroecology and organic production in small municipalities.
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) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,025 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».