Title: A generic Farming System Simulator
Authors: LOUHICHI KamelJANSSEN SanderKANELLOPOULOS ArgyrisLI Hong-TaoBORKOWSKI NinaFLICHMAN GuillermoHENGSDIJK HuibZANDER PeterBLANCO FONSECA MariaSTOKSTAD GreteATHANASIADIS IRIZZOLI AndreasHUBER DHECKELEI ThomasVAN ITTERSUM Martin
Publisher: Springer
Publication Year: 2010
JRC Publication N°: JRC55289
ISBN: 978-90-481-3618-6 (Print) 978-90-481-3619-3 (Online)
URI: http://www.springerlink.com/content/m370224802280142/fulltext.pdf
http://publications.jrc.ec.europa.eu/repository/handle/JRC55289
DOI: 10.1007/978-90-481-3619-3
Type: Articles in books
Abstract: The aim of this chapter is to present a bioeconomic modelling framework established to provide insight into the complex nature of agricultural systems and to assess the impacts of agricultural and environmental policies and technological innovations. This framework consists on the link of an Agricultural Production and Externalities Simulator (APES), used to estimate at field level the engineering production and environmental functions, and a Farm System Simulator (FSSIM) based on mathematical programming approach. FSSIM includes a data module for agricultural management (FSSIM-AM) and a mathematical programming model (FSSIM-MP). FSSIM-AM aims to identify current and alternative activities and to quantify their input output coefficients (both yields and environmental effects) using APES and other sources (expert knowledge, surveys, etc.). FSSIM-MP seeks to describe the behaviour of the farmer given a set of biophysical, socio-economic and policy constraints and to predict its reactions under news technologies, policy and market changes. The communication between these very different tools and models is based on explicit definitions of spatial scales and model integration software.
JRC Institute:Institute for Prospective Technological Studies

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