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Farm management information systems: Current situation and future perspectives

Fountas, S.; Carli, G.; Sørensen, C.G.; Tsiropoulos, Z.; Cavalaris, C.; Vatsanidou, A.; Liakos, B.; Canavari, M.; Wiebensohn, J. and Tisserye, B. (2015). Farm management information systems: Current situation and future perspectives. Computers and Electronics in Agriculture, 115 pp. 40–50.

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Farm Management Information Systems (FMIS) in agriculture have evolved from simple farm record-keeping into sophisticated and complex systems to support production management. The purpose of current FMIS is to meet the increased demands to reduce production costs, comply with agricultural standards, and maintain high product quality and safety. This paper presents current advancements in the functionality of academic and commercial FMIS. The study focuses on open-field crop production and centeres on farm managers as the primary users and decision makers. Core system architectures and application domains, adoption and profitability, and FMIS solutions for precision agriculture as the most information-intensive application area were analyzed. Our review of commercial solutions involved the analysis of 141 international software packages, categorized into 11 functions. Cluster analysis was used to group current commercial FMIS as well as examine possible avenues for further development. Academic FMIS involved more sophisticated systems covering compliance to standards applications, automated data capture as well as interoperability between different software packages. Conversely, commercial FMIS applications targeted everyday farm office tasks related to budgeting and finance, such as recordkeeping, machinery management, and documentation, with emerging trends showing new functions related to traceability, quality assurance and sales.

Item Type: Journal Item
Copyright Holders: 2015 Elsevier B.V.
ISSN: 0168-1699
Project Funding Details:
Funded Project NameProject IDFunding Body
ERA-NET ICT-AGRI project ‘RoboFarm: Integrated robotic and software platform as a support system for farm level business decisions’Not SetEuropean Union ERA-NET ICT-AGRI
Keywords: farm software; precision agriculture; farm machinery; decision support system; adoption; profitability
Academic Unit/School: Faculty of Business and Law (FBL) > Business > Department for Strategy and Marketing
Faculty of Business and Law (FBL) > Business
Faculty of Business and Law (FBL)
Item ID: 48329
Depositing User: Giacomo Carli
Date Deposited: 31 Jan 2017 16:36
Last Modified: 20 Nov 2019 17:03
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