A method for exploring sustainable development options at farm scale: a case study for vegetable farms in South Uruguay

Dogliotti, Santiago; Ittersum, M.K. van; Rossing, W.A.H.

doi:10.1016/j.agsy.2004.08.002

Cited by 92 publications

(71 citation statements)

References 22 publications

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“…mostly dairy cattle systems relying on grasslands and crops, were most represented (Salinas et al 1999;van Calker et al 2004). The plant farming systems considered were as diverse as cherries (Cittadini et al 2008), bulbs (Rossing et al 1997) and vegetables (Dogliotti et al 2005). Whereas some of the approaches were confined to a particular type of farming system (Cittadini et al 2008;Rossing et al 1997), others were applicable to several types of system, e.g.…”

Section: Design Contextmentioning

confidence: 99%

“…Whereas some of the approaches were confined to a particular type of farming system (Cittadini et al 2008;Rossing et al 1997), others were applicable to several types of system, e.g. vegetables, beef cattle and mixed production systems (Dogliotti et al 2005) or arable, beef and dairy cattle, sheep and goats, and mixed production systems (Louhichi et al 2010).…”

Section: Design Contextmentioning

confidence: 99%

“…As a consequence, the definition of the solution space to be explored was determined by the variety of strategic, and in a few cases (Flaten and Lien 2007;Woodward et al 1995), the tactical decisions considered. For instance, the number of possible crop rotations to be selected for allocation to land units (Dogliotti et al 2005) or the number of sets of management practices (i.e. a diet and a confinement time for cows and a crop rotation; Cabrera et al 2006) conditioned the size of the solution space.…”

Section: Design Contextmentioning

confidence: 99%

“…Improvement of economic performance was generally associated with environmental and/or social goals. Environmental goals were clearly formulated regarding, for instance, soil erosion rate (Dogliotti et al 2005), nitrogen loss, plant species number and CO 2 emissions (Ramsden and Gibbons 2009). Social goals were not as straightforward but the workload of the farming system designed was often taken into account in the analysis (Cittadini et al 2008).…”

Section: Design Contextmentioning

confidence: 99%

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Farming system design to feed the changing world. A review

Martin

Martin‐Clouaire

Duru

2012

Agron. Sustain. Dev.

118

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Agricultural production is unstable as a result of complex, dynamic and interrelated factors such as climate, markets and public policy that are beyond farmers' control. Farmers must therefore develop new farming systems incorporating innovations in objectives, organization and practices adapted to changing production contexts. As a consequence, agronomists have expanded the "farming system design" field of research. A variety of quantitative and qualitative design approaches have been developed to support the analysis of current farming systems and the design and evaluation of alternatives. A comprehensive literature assessment is lacking for this emerging field of agricultural science. Here we review 41 farming system design approaches using computer models. Our main findings are the following: (1) the reviewed literature do not make reference to the theoretical approaches from the field of design science. (2) Two categories of farming system approaches can be distinguished: optimisation approaches, and participatory and simulation-based approaches. These two categories are connected to two of the main design science theories. (3) For optimisation approaches, farming system design is mainly seen as a problem-solving process. Emphasis is placed on the computational exploration of the solution space by a problem-solving algorithm. (4) For participatory and simulation-based approaches, conceptualization of the design problem is central to the farming system design process. The subsequent exploration of the solution space relies on the creativity of humans. (5) Optimisation approaches, and participatory and simulationbased approaches are oriented towards the development of exploitative rather than exploratory innovations. Exploitative innovations involve the exploitation of available knowledge while exploration innovations build on knowledge created in the course of the design process.

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Section: Design Contextmentioning

confidence: 99%

Section: Design Contextmentioning

confidence: 99%

Section: Design Contextmentioning

confidence: 99%

Section: Design Contextmentioning

confidence: 99%

See 2 more Smart Citations

Farming system design to feed the changing world. A review

Martin

Martin‐Clouaire

Duru

2012

Agron. Sustain. Dev.

118

View full text Add to dashboard Cite

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“…They were applied in different farm types and countries according to the particular research needs (Janssen and van Ittersum 2007). Thereby the arable, vegetable or livestock bio-economic models were used (Benoit and Veysset 2003;Dogliotti et al 2005;Bartolini et al 2007). In the last years, a generalised static tool for the multi-national impact assessment doi: 10.17221/116/2014-AGRICECON was proposed at the European level Louhichi et al 2010).…”

Section: Doi: 1017221/116/2014-agriceconmentioning

confidence: 99%

An ex-ante impact assessment of the Common Agricultural Policy reform in the North-Western Romania

Jitea¹,

Dumitraş²,

Simu³

2015

AGR ECON-CZECH

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Th e paper aims to assess the impact of the Common Agricultural Policy reform (post 2014) in the environmental vulnerable areas from Romania. It proposes a bio-economic dynamic farm model calibrated with the positive mathematical programming (PMP). Th e standard PMP approach was extended to simulate the mixed farming systems through the introduction of a livestock production activity in the fi rst calibration step. It allows incorporating activities not available in the base year, but that can be performed by the farmers after the future policy reforms. Th e model provides supply-responses for both the crop and livestock farms according to the agricultural and fi nancial policy shifts. It maximizes the farm net fi nancial fl ows subject to the resource, livestock, fi nancial and agricultural policy constraints. Th e initialisation data were obtained from a face-to-face stratifi ed survey applied on the mixed-sheep farms that have used grassland areas under the Agri-Environment Schemes (AES) in the North-Western Romania (Transylvania). Th e results show that the most vulnerable group to the policy changes is represented by the small-size farms, to which the AES are very important economic drivers. Th us, the diversifi cation and the off -farm employments possibilities should be integrated into the future rural development plans as a premise for their survival.

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Parallel crop planning based on price forecast

Fan

Kang

Wang

et al. 2021

Int J of Intelligent Sys

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Agrifood system actors operate within diverse sociocultural, economic, and biophysical settings. For growers, crop planning, usually a yearly business plan, is a key decision to make on when, what, and how many to plant. It is a challenging task as it deals with multiple constraints in volatile economic and/or climate environment. Most crop planning models have difficulty in adapting to changing situation. In this study, a parallel system of crop planning composed of the artificial system, computational experiment, and parallel execution is proposed. The farmers are described as agents, and the decision is made based on the heuristic searching of optimal plan; the adaption of plan is triggered autonomously given strong environment changes. Focus is given to economic environment, which is indicated as product price. In a case study, the economic environment of the artificial system is built based on the monthly and weekly price information for 13 products during 7 years. The computational experiment provides the initial cropping plan and harvest time, with social and ecological constraints. Result shows that the cropping plan can further adapt to price variation. This flexible cropping plan system can strengthen the capability of cooperatives serving small-scale farmers.

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A method for exploring sustainable development options at farm scale: a case study for vegetable farms in South Uruguay

Cited by 92 publications

References 22 publications

Farming system design to feed the changing world. A review

Farming system design to feed the changing world. A review

An ex-ante impact assessment of the Common Agricultural Policy reform in the North-Western Romania

Parallel crop planning based on price forecast

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