Search

Abstract: This paper explains the process followed to generate the model used as a decision support tool for agricultural production planning in the most agrarian areas in Galicia (NW Spain). The model comprises three procedures that use 44 social, environmental and economic indicators developed using both monographic information and field data. The indicators allow for the selection of the most suitable crops and land uses for each agrarian area, and allow decision makers to define key factors for performing a diagnostic analysis and proposing relevant actions regarding agricultural production planning. The potential of the tool for defining a hierarchy of potential crops and land uses according to their degree of suitability has been illustrated by applying the model to one of the 88 Ecological and Economic Units studied (EEUs). The proposed model can be a useful tool for production managers, agricultural associations, governmental agencies and even non-governmental organizations in underdeveloped countries. The most innovative aspects of the model are the feasibility of grouping indicators to perform a diagnostic analysis of different scenarios, and that it can be adapted to any other region in the world, by adjusting the objectives of agricultural production planning and the corresponding indicators. [Copyright &y& Elsevier]

Abstract: Since 2002, the Galician Administration (NW Spain) has been working in the development of a decision support system for Agricultural Production Planning. To this end, an initial decision tool, Gestop®, was developed. However, the tool had a number of limitations for practical use because of the lack of differentiated data about the real situation of farms. With a view to improving the initial tool, a combinatorial method (CM) was developed. Such a combinatorial method used official census data to classify farms based on the different production processes, sizes and geographical locations of farms, among other factors. The combinatorial method proved very useful as a source of differentiated data for the decision support system. Yet, validating the results using robust statistical methods was considered essential in order to guarantee the suitability of the model for use. This paper uses discriminant analysis (DA) techniques to validate the types of dairy farms obtained from the combinatorial method for Galicia. Results clearly validate the combinatorial method and its use as a data source for decision support systems in Agricultural Production Planning. [Copyright &y& Elsevier]