Architecture design approach for IoT-based farm management information systems

Smart farming adopts advanced technology and the corresponding principles to increase the amount of production and economic returns, often also with the goal to reduce the impact on the environment. One of the key elements of smart farming is the farm management information systems (FMISs) that supp...

Full description

Saved in:
Bibliographic Details
Published in:Precision agriculture 2019-10, Vol.20 (5), p.926-958
Main Authors: Köksal, Ö., Tekinerdogan, B.
Format: Article
Language:English
Subjects:
Agricultural economics
Agriculture
Architecture
Atmospheric Sciences
Automation
Biomedical and Life Sciences
Case studies
Chemistry and Earth Sciences
Computer Science
Crop production
Cybersecurity
Data acquisition
Data processing
Decision making
Design
Digital agriculture
Environmental impact
Farm management
Farming
Farms
Impact analysis
Information management
Information systems
Internet of Things
Life Sciences
Management information systems
Physics
Protocol (computers)
Remote Sensing/Photogrammetry
Soil Science & Conservation
Statistics for Engineering
Wheat
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Smart farming adopts advanced technology and the corresponding principles to increase the amount of production and economic returns, often also with the goal to reduce the impact on the environment. One of the key elements of smart farming is the farm management information systems (FMISs) that supports the automation of data acquisition and processing, monitoring, planning, decision making, documenting, and managing the farm operations. An increased number of FMISs now adopt internet of things (IoT) technology to further optimize the targeted business goals. Obviously IoT systems in agriculture typically have different functional and quality requirements such as choice of communication protocols, the data processing capacity, the security level, safety level, and time performance. For developing an IoT-based FMIS, it is important to design the proper architecture that meets the corresponding requirements. To guide the architect in designing the IoT based farm management information system that meets the business objectives a systematic approach is provided. To this end a design-driven research approach is adopted in which feature-driven domain analysis is used to model the various smart farming requirements. Further, based on a FMIS and IoT reference architectures the steps and the modeling approaches for designing IoT-based FMIS architectures are described. The approach is illustrated using two case studies on smart farming in Turkey, one for smart wheat production in Konya, and the other for smart green houses in Antalya.
ISSN:1385-2256
1573-1618
DOI:10.1007/s11119-018-09624-8