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A Generic Farming System Simulator

Authors: Louhichi, K.; Janssen, S.J.C.; Kanellopoulos, A.; Li, H.; Borkowski, N.; Flichman, G.; Hengsdijk, H.; +8 Authors

A Generic Farming System Simulator

Abstract

The aim of this chapter is to present a bio-economic 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 of a Farm System Simulator (FSSIM) using mathematical programming that can be linked to a cropping system model to estimate at field level the engineering production and environmental functions. FSSIM includes a module for agricultural management (FSSIM-AM) and a mathematical programming model (FSSIM-MP). FSSIM-AM aims to define current and alternative activities and to quantify their input output coefficients (both yields and environmental effects) using a cropping system model, such as APES (Agricultural Production and Externalities Simulator) 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 new technologies, policy and market changes. The communication between these different tools and models is based on explicit definitions of spatial scales and software for model integration.

Countries
France, France, Netherlands
Keywords

BIO-ECONOMIC FARM MODEL, NETHERLANDS, [SDV]Life Sciences [q-bio], MODELE DE SIMULATION, 630, [SHS]Humanities and Social Sciences, IMPACT ASSESSMENT , Operationele Research en Logistiek, MODELE BIOECONOMIQUE, Wageningen Environmental Research, Leerstoelgroep Plantaardige productiesystemen, [SDV.SA.AEP] Life Sciences [q-bio]/Agricultural sciences/Agriculture, economy and politics, AGRICULTURAL SYSTEM, METHODE D'OPTIMISATION, PAYS BAS, PE&RC, [SDV] Life Sciences [q-bio], EUROPEAN UNION COUNTRIES, PAYS DE L'UNION EUROPEENNE, Plant Production Systems, MODELE BIOECONOMIQUE DE FERME, Agrosystems, IMPACT ASSESSMENT, [SHS] Humanities and Social Sciences, CGI - Spatial Models and Knowledge Systems, EVALUATION D'IMPACT, SCENARIO, Bedrijfseconomie, FRANCE, ALTERRA Wageningen UR, SIMULATION MODEL, PRI Agrosysteemkunde, Agrosysteemkunde / Agrosystems Research, SUSTAINABILITY, BIOECONOMIC MODEL, CGI - Ruimtelijke Modellen en Kennissystemen, Business Economics, Life Science, FARM MANAGEMENT, OPTIMIZATION METHODS, [ SDV ] Life Sciences [q-bio], Leerstoelgroep Bedrijfseconomie, Agrarische bedrijfseconomie, [SDV.SA.AEP]Life Sciences [q-bio]/Agricultural sciences/Agriculture, economy and politics, SYSTEME DE PRODUCTION, FARMING SYSTEM, Leerstoelgroep Operationele research en logistiek, GESTION DE L'EXPLOITATION AGRICOLE, Centrum Geo Informatie - Ruimtelijke Modellen en Kennissystemen, Plantaardige Productiesystemen, AGRICULTURAL POLICY, Operations Research and Logistics

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
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