Reference architecture design for farm management information systems: a multi-case study approach

Author:

Tummers J.,Kassahun A.,Tekinerdogan B.ORCID

Abstract

AbstractOne of the key elements of precision agriculture is the farm management information system (FMIS) that is responsible for data management, analytics and subsequent decision support. Various FMISs have been developed to support the management of farm businesses. A key artefact in the development of FMISs is the software architecture that defines the gross level structure of the system. The software architecture is important for understanding the system, analysing the design decisions and guiding the further development of the system based on the architecture. To assist in the design of the FMIS architecture, several reference architectures have been provided in the literature. Unfortunately, in practice, it is less trivial to derive the application architecture from these reference architectures. Two underlying reasons for this were identified. First of all, it appears that the proposed reference architectures do not specifically focus on FMIS but have a rather broad scope of the agricultural domain in general. Secondly, the proposed reference architectures do not seem to have followed the proper architecture documentation guidelines as defined in the software architecture community, lack precision, and thus impeding the design of the required application architectures. Presented in this article is a novel reference architecture that is dedicated to the specific FMIS domain, and which is documented using the software architecture documentation guidelines. In addition, the systematic approach for deriving application architectures from the proposed reference architecture is provided. To illustrate the approach, the results of multi-case study research are shown in which the presented reference architecture is used for deriving different FMIS application architectures.

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Reference67 articles.

1. 365FarmNet (2020a). About us. Retrieved May 14, 2020 from https://www.365farmnet.com/en/company/about-us/.

2. 365FarmNet (2020b). Cooperation and integration. Retrieved May 14, 2020 from https://www.365farmnet.com/en/365partner/.

3. Allen, J., & Wolfert, J. (2011). Farming for the future: Towards better information-based decision-making and communication-Phase I: Australasian stocktake of farm management tools used by farmers and rural professionals. New Zealand Centre of Excellence in Farm Business Management, Palm. Technical Report, AgFirst Consultancy/Wageningen University and Research Centre.

4. Ampatzidis, Y., Tan, L., Haley, R., & Whiting, M. D. (2016). Cloud-based harvest management information system for hand-harvested specialty crops. Computers and Electronics in Agriculture, 122, 161–167.

5. Barmpounakis, S., Kaloxylos, A., Groumas, A., Katsikas, L., Sarris, V., Dimtsa, K., et al. (2015). Management and control applications in agriculture domain via a future internet business-to-business platform. Information Processing in Agriculture, 2(1), 51–63.

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3