USING FUZZY LOGIC TO SIMULATE THE COMPOSITION OF FARMING SYSTEMS IN THE MEKONG DELTA



Bosma R. H.(1*), Le Thanh Phong(2), J. van de Berg(3), U. Kaymak(4), H. M. J. Udo(5), J. A. J. Verreth(6)

(1) Animal Science Group, Wageningen University, Netherland
(2) Can Tho University, Vietnam
(3) Computer Science Department, Erasmus University, Rotterdam, Netherlands.
(4) Computer Science Department, Erasmus University, Rotterdam, Netherlands.
(5) Animal Science Group, Wageningen University, Netherland
(6) Animal Science Group, Wageningen University, Netherland
(*) Corresponding Author

Abstract


Though specialisation is the global trend in agriculture, integrated agriculture aquaculture farming systems expanded in Vietnam during the past 20 years. We interviewed 24 farmers of three categories of well-being in three hamlets in the Mekong Delta and analysed their motivations for the diversification. Subsequently we conceived a three level hierarchical tree of fuzzy logic inference systems to simulate the farm composition. The model simulated with 80 to 98% of accuracy the distribution of the ‘hard to change’ farm components: rice field, orchard, and fishpond. The presence of the ‘easy to change’ livestock components was less well simulated: an accuracy of 30 to 70 %, either because of their lower frequency or because these components can be stopped or started from one day to the other.


Keywords


Vietnam, Mixed-Farming, Decision Making, Simulation Fuzzy-Sets

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