Using fuzzy logic models to reveal farmers' motives integrate livestock, fish, and crops
2007
Bosma, Roel H.
Rural extension services have changed paradigm and shifted to more participatory approaches, whereas in common mathematical models of farming systems, farmers' motivation is solely represented by 'utility maximisation'.
Mostrar más [+] Menos [-]While globally, farmers specialise, in Vietnam the rice-based systems have diversified into more sustainable integrated agriculture-aquaculture.
Mostrar más [+] Menos [-]We gathered data from 144 farms in six villages in two ecological zones of the Mekong Delta, Vietnam.
Mostrar más [+] Menos [-]Using the livelihood framework we conceptualised farmers' decision-making in a fuzzy logic model that can deal with subjective linguistic statements through 'if-then' rules. The desire to improve livelihoods and diet, mainly for their children' well-being was the farmers' main motive for diversification.
Mostrar más [+] Menos [-]Livestock, including fish, was essential in the expansion and accumulation stages of the nuclear families' life-course having five stages.
Mostrar más [+] Menos [-]In 10 recursive steps we developed a model of farmers' decision-making in a transparent hierarchical tree composed of several Mamdani-based inference systems, each with its rule base.
Mostrar más [+] Menos [-]Model conceptualisation, variables selection, model structuring, and definition of linguistic values, membership functions and rule base were based on a first set of data that was completed before calibration.
Mostrar más [+] Menos [-]In a pilot, the simulation of the frequency distribution of four fish-production systems was good, but classification of individual farmers was poor.
Mostrar más [+] Menos [-]Using composed variables for land, water, labour and capital decreased the fuzziness of the inference in this pilot model.
Mostrar más [+] Menos [-]In a more elaborated three-layer model, the whole farm composition was simulated using variables for the production factors, farmers' appreciation of prices, farmer's know-how of 10 activities, operational variables of social motives for integration and diversification as well as for risk-taking behaviour and for rice food security.
Mostrar más [+] Menos [-]Model's classification of individual farmers in the delta was good for the land-based activities but poor for the livestock activities.
Mostrar más [+] Menos [-]A test on the hill farmers' dataset showed that the model was context-specific.
Mostrar más [+] Menos [-]The model's sensitivity to the social variables determining diversification and integration was of the same magnitude as its sensitivity to product's prices and farmer's know-how, but smaller than its sensitivity to labour, capital and land endowment.
Mostrar más [+] Menos [-]We conclude that farmers' decision-making can be simulated using a fuzzy logic model.
Mostrar más [+] Menos [-]In the Mekong Delta farm diversification and integration are driven by labour, income, homestead area, number of young children, index of integration, household life-course, and level of education and age of the household head, in decreasing order.
Mostrar más [+] Menos [-]The choice of a component depends on the household's assets and specific know-how, and on marketability.
Mostrar más [+] Menos [-]Farm models that do not include family-related motivations might be less reliable than generally suggested.
Mostrar más [+] Menos [-]Información bibliográfica
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