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Simulation of the Agro-Energy Farm with the X-Farm Model: Calibration of the Crop Module for Sorghum Yield
Author(s) -
Francesco Danuso,
Alvaro Rocca,
Valeria Andreoni,
Elena Bulfoni
Publication year - 2010
Publication title -
italian journal of agronomy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.509
H-Index - 24
eISSN - 2039-6805
pISSN - 1125-4718
DOI - 10.4081/ija.2010.275
Subject(s) - sorghum , agricultural engineering , environmental science , energy crop , forage , agriculture , biomass (ecology) , cropping , field trial , production (economics) , crop , agricultural science , simulation modeling , agronomy , calibration , agroforestry , renewable energy , mathematics , bioenergy , engineering , geography , economics , statistics , electrical engineering , macroeconomics , archaeology , mathematical economics , biology
This paper presents the X-farm model, a dynamic farm simulation model created to manage sustainable farming systems and to improve the planning capability of farms. X-farm considers an “agro-energy farm” where energy self-sufficiency results from the production, transformation and use of biomass obtained from the farm crops. The X-farm model is formed by different modules, integrated to describe the components of the agro-energy farm and grouped into management, production, soil and accountability (in terms of energy, environment and economy) sections. The main farm productions are the field crop yields. The model simulates a farm in which cereal and forage yield, oil seeds, milk and meat can be sold or reused. A preliminary calibration of the crop module of X-farm has been performed using experimental data from Sorghum bicolor L. (Moench) trials. X-farm has been implemented and calibrated using the SEMoLa language and simulation framework. Simulations of different cropping scenarios have been performed to test the X-farm capabilities to simulate complex farming systems, in order to be used as a decision-support tool

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