Multi-layered Open Data Processing Model for Hazelnut Farms
In recent years several projects that are supported by information and communications technologies (ICT) have been developed in the agricultural domain to promote more precise agricultural activities. These projects account for different kinds of key ICT terms such as internet of things (IoT), wireless sensors networks (WSN), cloud computing (CC) etc. These projects are used for different agricultural products and it is a well-known fact that they can be essential to perform precise agricultural activities for the relevant agricultural products. It is important to emphasize that the success of implementing these projects depends on the extent to which support various stakeholders by leveraging relevant data, which are gathered from different kinds of data sources. Agriculture domain has a great deal of stakeholders. These stakeholders need sophisticated data and appropriate intelligence for getting benefits to performing precise agricultural activities. We agreed with scholars that “Open Data” idea, which means accessing data which is published on web and available in a machine readable format is an appropriate way to get benefit for precise agriculture by relevant stakeholders. In this paper, we shall investigate the open data term in an agriculture context and create an open data processing model. We also show viability of the proposed model by developing an ICT-based solution. Taking into account the socioeconomic importance of hazelnut for Turkey, the stakeholders of hazelnut domain still have problems such as availability, meaningful, accuracy of the hazelnut related data so we shall focus on hazelnut within the scope of this paper.
Editor: H. Kemal İlter, Ankara Yıldırım Beyazıt University, Turkey
Received: August 19, 2018, Accepted: October 18, 2018, Published: November 10, 2018
Copyright: © 2018 IMISC Şahin, Aydın. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.