2019
DOI: 10.1016/j.agsy.2019.01.011
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Multi-objective simulation and optimisation of dairy sheep farms: Exploring trade-offs between economic and environmental outcomes

Abstract: Està subjecte a una llicència de Reconeixement-NoComercial-SenseObraDerivada 3.0 de Creative Commons Multi-objective simulation and optimisation of dairy sheep farms: Exploring trade-offs between economic and environmental outcomes

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Cited by 21 publications
(8 citation statements)
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“…The point was the lowest greenhouse gas emissions per unit of product. Moreover, the outcomes Villalba et al [24] conducted in sheep farms in the Basque Country (Spain) are in line with this and they show a complementarity between the economic and environmental performance (nitrogen excretion). This would mean that economic and environmental objectives could be reconciled.…”
Section: Literature Reviewsupporting
confidence: 62%
“…The point was the lowest greenhouse gas emissions per unit of product. Moreover, the outcomes Villalba et al [24] conducted in sheep farms in the Basque Country (Spain) are in line with this and they show a complementarity between the economic and environmental performance (nitrogen excretion). This would mean that economic and environmental objectives could be reconciled.…”
Section: Literature Reviewsupporting
confidence: 62%
“…To the best of our knowledge, only PASTOR-DSS, a decision support system for dairy sheep farming, allows for bio-economic simulations. However, since simulations rely on an individual animal models, its use is impaired by the large number of required input animal parameters [ 22 ]. Although iSAGEDSS takes into account all important farm aspects, great effort was put into limiting the number of input variables to those absolutely required and, therefore, the time investment for the farmer; the input data form can be completed in approximately 30 min and the report is generated in seconds.…”
Section: Discussionmentioning
confidence: 99%
“…In the farm animal industry, emphasis has been placed on assisting dairy cow farmers in decision-making through predictive modeling for animal production and financial performance [ 11 , 12 ]. Regarding small ruminant farm management, there are some available tools that aim to help sheep and goat farmers towards decision-making [ 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. However, most of the current solutions do not offer a holistic management approach that takes into account all important farm parameters [ 14 , 18 , 21 ] or they require a great amount of effort for data input via non-user-friendly (complex and/or poorly structured) interfaces [ 13 , 15 , 16 , 19 ].…”
Section: Introductionmentioning
confidence: 99%
“…Mathematical optimization models can be used for decision-making for different types of livestock, as shown by the case of Rodríguez-Sánchez et al (2012) who used LP for complex modeling of sow farms. Moreover, Villalba et al (2019) recently developed an optimization model for dairy sheep farms using a multi-objective approach and stochastic simulation. Another multiobjective approach based on mathematical optimization was presented by Groot et al (2012) who aimed not only to maximize profit, which is the usual subject of optimization, but also to design farm configurations with respect to organic matter balance, labor requirements, and soil nitrogen loss.…”
Section: Mathematical Programming In Agribusinessmentioning
confidence: 99%