Conceptual model of a future farm management information system

被引:176
作者
Sorensen, C. G. [1 ]
Fountas, S. [2 ]
Nash, E. [6 ]
Pesonen, L. [4 ]
Bochtis, D. [1 ]
Pedersen, S. M. [5 ]
Basso, B. [3 ]
Blackmore, S. B. [7 ]
机构
[1] Aarhus Univ, Fac Agr Sci, Dept Agr Engn, Res Ctr Foulum, DK-8830 Tjele, Denmark
[2] Inst Technol & Management Agr Ecosyst, Ctr Res & Technol, GR-38500 Volos, Greece
[3] Univ Basilicata, I-85100 Potenza, Italy
[4] MTT Agrifood Res Finland, Vihti 03400, Finland
[5] Univ Copenhagen, Inst Food & Resource Econ, DK-1958 Frederiksberg C, Denmark
[6] Univ Rostock, Fac Agr & Environm Sci, Inst Management Rural Areas, D-18059 Rostock, Germany
[7] King Saud Univ, Riyadh 11451, Saudi Arabia
关键词
System boundary; Future farm; ICT; Information systems; DECISION-MAKING; CROP MANAGEMENT; METHODOLOGY; ADOPTION; PERSPECTIVES; AGRICULTURE; SIMULATION; THINKING; SUPPORT; CIM;
D O I
10.1016/j.compag.2010.02.003
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Future and even current European farmers are experiencing that the managerial tasks for arable farming are shifting to a new paradigm, requiring increased attention to economic viability and the interaction with the surroundings. To this end, an integration of information systems is needed to advise managers of formal instructions, recommended guidelines and documentation requirements for various decision making processes. In the EU funded project FutureFarm, a new model and prototype of a new Farm Information Management System (FMIS) which meets these changing requirements will be developed. The aim of the work presented in this paper is to define and analyse the system boundaries and relevant decision processes for such a novel FMIS as a prerequisite for a dedicated information modelling. The boundaries and scope of the system are described in terms of actors and functionalities, where actors are entities interfacing with the system (e.g. managers, software, databases). In order to analyse the complex and soft systems situations of how to develop an effective FMIS, which effectively meets farmers' changing needs a conceptual model was developed based on soft systems methodology (SSM) and based on information derived from four pilot farms representing diverse conditions across the EU that are partners of the FutureFarm project. The system components were depicted as part of rich pictures and linked to the subsequent derived conceptual model of the overall system as an outline for the development of the specific FMIS requirements. This research has shown the benefit of using dedicated system analysis methodologies as a preliminary step to the actual design of a novel farm management information system compared with other more rigid and activity oriented system analysis methods. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:37 / 47
页数:11
相关论文
共 53 条
  • [11] The FARMSCAPE approach to decision support: farmers', advisers', researchers' monitoring, simulation, communication and performance evaluation
    Carberry, PS
    Hochman, Z
    McCown, RL
    Dalgliesh, NP
    Foale, MA
    Poulton, PL
    Hargreaves, JNG
    Hargreaves, DMG
    Cawthray, S
    Hillcoat, N
    Robertson, MJ
    [J]. AGRICULTURAL SYSTEMS, 2002, 74 (01) : 141 - 177
  • [12] INFORMATION-SYSTEMS AND SYSTEMS THINKING - TIME TO UNITE
    CHECKLAND, PB
    [J]. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 1988, 8 (04) : 239 - 248
  • [13] Theory and practice of soft systems methodology: A performative contradiction?
    Christis, J
    [J]. SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE, 2005, 22 (01) : 11 - 26
  • [14] *DAAS, 2009, DAN FIELD DAT
  • [15] Modelling representative and coherent Danish farm types based on farm accountancy data for use in environmental assessments
    Dalgaard, Randi
    Halberg, Niels
    Kristensen, Ib S.
    Larsen, Inger
    [J]. AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2006, 117 (04) : 223 - 237
  • [16] DAVIES LJ, 1989, INT J INFORM MANAGEM, P199
  • [17] Folinas Dimitris, 2007, International Journal of Intelligent Enterprise, V1, P65, DOI 10.1504/IJIE.2007.013811
  • [18] Farmer Experience with Precision Agriculture in Denmark and the US Eastern Corn Belt
    S. Fountas
    S. Blackmore
    D. Ess
    S. Hawkins
    G. Blumhoff
    J. Lowenberg-Deboer
    C. G. Sorensen
    [J]. Precision Agriculture, 2005, 6 (2) : 121 - 141
  • [19] A model of decision-making and information flows for information-intensive agriculture
    Fountas, S
    Wulfsohn, D
    Blackmore, BS
    Jacobsen, HL
    Pedersen, SM
    [J]. AGRICULTURAL SYSTEMS, 2006, 87 (02) : 192 - 210
  • [20] A systems analysis of information system requirements for an experimental farm
    Fountas, S.
    Kyhn, M.
    Jakobsen, H. Lipczak
    Wulfsohn, D.
    Blackmore, S.
    Griepentrog, H. W.
    [J]. PRECISION AGRICULTURE, 2009, 10 (03) : 247 - 261