Les décisions techniques de conduite des cultures dans les exploitations agricoles africaines. Modélisation de la conduite du coton dans le Nord Cameroun
| Autor: | Alain Capillon, Christine Aubry, Isabelle Dounias |
|---|---|
| Přispěvatelé: | ProdInra, Migration, Systèmes Agraires Développement : Activités, Produits, Territoires (SADAPT), Institut National de la Recherche Agronomique (INRA)-Institut National Agronomique Paris-Grignon (INA P-G) |
| Jazyk: | angličtina |
| Rok vydání: | 2002 |
| Předmět: |
Modèle
Aide à la décision 010504 meteorology & atmospheric sciences Yield (finance) media_common.quotation_subject Plan (drawing) Conduite de la culture 01 natural sciences Temperate climate Technical management Function (engineering) Travail 0105 earth and related environmental sciences media_common 2. Zero hunger Gossypium Agroforestry business.industry U10 - Informatique mathématiques et statistiques Prise de décision Environmental resource management [SDV.SA.AEP] Life Sciences [q-bio]/Agricultural sciences/Agriculture economy and politics Force de travail [SDV.SA.AEP]Life Sciences [q-bio]/Agricultural sciences/Agriculture economy and politics 04 agricultural and veterinary sciences E20 - Organisation administration et gestion des entreprises ou exploitations agricoles Pratique culturale Work (electrical) Agriculture 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Animal Science and Zoology Business Surface d'exploitation Agronomy and Crop Science Decision model Organisation du travail |
| Zdroj: | Agricultural Systems Agricultural Systems, Elsevier Masson, 2002, pp.233-260 |
| ISSN: | 0308-521X |
| Popis: | Recent work on decision processes on French farms and irrigated systems in Africa has shown that farmers plan their cyclical (recurrent) technical operations, and that one can model this planning process. Taking the case of cotton crop management in North Cameroon, we show that with certain adjustments, modelling of this kind can also be done for rainfed crop farming in Africa. The adjustments are needed to take account of the differences in social status between different fields on one farm and the implications of the fact that farm work is primarily manual. This produces decision models with a similar structure to that described for technical management of an annual crop break in a temperate climate using mechanised implements. Not only do these models give us a detailed understanding of the variability of farming practices, we can also classify them into categories according to weather scenarios yield level as a function of weather scenario. We show that one can attribute farms to these types of model using simple indicators concerning work organisation. By analysing North Cameroon farmers' decision processes for managing cotton crops we can thus produce an effective tool for organising technical supervision of farmers at the regional level: advisers can work with these decision model types by measuring some simple indicators at farm level to predict which types of model are applicable, without the onerous work of constructing individual decision models. |
| Databáze: | OpenAIRE |
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