Articles
ESTIMATING AGRARIAN INCOME EVOLUTION IN HORTICULTURAL FARMS
Article number
802_59
Pages
443 – 448
Language
English
Abstract
This paper describes a hybrid method to simulate the evolution of agrarian income (estimated by farm net margin) on a medium-long term basis.
The model integrates Monte-Carlo simulation (MCS) and a multi-level fuzzy inference engine.
MCS is a well-known forecasting method but ignores the existence of real dependence relationships among covariates.
When dependence relationships cannot be algebraically formulated but can be described as rules using expert knowledge, a
fuzzy inference engine can interpret them guiding the MCS model.
The financial structure of horticultural farms (agrarian year 2000, surveyed in 2003: 348 farms) in Andalusia (southern region in Spain) was used to verify the hybrid model.
Farm net margin was forecasted from 2001 to 2013 and the results were evaluated using a cross-validation procedure.
Future environmental and market impacts can also be evaluated and this makes our model an interesting proposal as a complementary tool for decision making in the context of agricultural policy.
The model integrates Monte-Carlo simulation (MCS) and a multi-level fuzzy inference engine.
MCS is a well-known forecasting method but ignores the existence of real dependence relationships among covariates.
When dependence relationships cannot be algebraically formulated but can be described as rules using expert knowledge, a
fuzzy inference engine can interpret them guiding the MCS model.
The financial structure of horticultural farms (agrarian year 2000, surveyed in 2003: 348 farms) in Andalusia (southern region in Spain) was used to verify the hybrid model.
Farm net margin was forecasted from 2001 to 2013 and the results were evaluated using a cross-validation procedure.
Future environmental and market impacts can also be evaluated and this makes our model an interesting proposal as a complementary tool for decision making in the context of agricultural policy.
Authors
C.R. García-Alonso, L.M. Pérez-Naranjo
Keywords
Monte Carlo simulation, fuzzy inference, agrarian income, horticultural farms
Online Articles (59)