Abstract
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.
Highlights
Smart farming represents the application of modern information and communication technologies (ICT) into agriculture to increase the amount of production and economic returns, often with the goal to reduce the impact on the environment (Rains and Thomas 2009)
Many definitions of internet of things (IoT) can be found in the literature, but the IoT is defined by the International Telecommunication Union (ITU) as “the network of physical objects or ‘things’ embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data”
Several architectures for farm management information systems (FMISs) have been proposed in the literature but these are usually abstract, and it is not trivial to derive the application FMIS architecture for the corresponding context of the farm system
Summary
Smart farming represents the application of modern information and communication technologies (ICT) into agriculture to increase the amount of production and economic returns, often with the goal to reduce the impact on the environment (Rains and Thomas 2009). The IoT helps in smart and automated information gathering and merging It helps as well as in monitoring sensor data coming from different machines, animals, plants, other farms and greenhouses and other systems such as unmanned air and land vehicles. In this way, the decision making and planning in the agricultural domain can be further supported which can lead to even more effective and efficient farming. Indirect data collection and direct data collection through semi-structured interviews (mix of open and closed questions) Questions
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