Abstract
Farming Systems Analysis (FSA) should lead to insight in the functioning of farming systems and help to develop various alternative scenarios for development.
New as weil as old developments in research technologies and farm dynamics are used to improve FSA. Technical options are considered through a Quantified Land Evaluation (QLE) approach distinguishing three levels of inputs. With optimal inputs, a constraint free environment is assumed so that potential production is achieved. At the second level, water limited conditions are assumed with optimal nutrient supply, and at the third level, water as weil as nutrient constraints may occur.
Economic conditions at the farm are investigated with the aid of a Farm Household Survey (FHS). This survey also yields a wealth of agronomie, animal husbandry and sociological information. Decision making processes are studied, giving more insight into the factors which contribute towards certain conclusions made by the farmer.
Development possibilities that fulfill different aims at the farm level under various constraints are explored making use of Interactive Multiple Goal Linear Programming (lMGLP) providing feasible development scenarios and their trade offs.
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Stroosnijder, L., Van Rheenen, T. (1993). Making farming systems analysis a more objective and quantitative research tool. In: Penning de Vries, F., Teng, P., Metselaar, K. (eds) Systems approaches for agricultural development. Systems Approaches for Sustainable Agricultural Development, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-2840-7_20
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DOI: https://doi.org/10.1007/978-94-011-2840-7_20
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