An Overview of Building a Global Data Area on the Web for Farming
- Authors: R. Sapna1, Ravva Akash Guptha2, Paritala Venkateswara Rao3, Raavi Sai Pranay4
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View Affiliations Hide AffiliationsAffiliations: 1 Department of Information Technology, Manipal Institute of Technology, Bangalore, Manipal Academy for Higher Education, Manipal India 2 School of Computer Science and Engineering, Presidency University, Bangalore India 3 School of Computer Science and Engineering, Presidency University, Bangalore India 4 School of Computer Science and Engineering, Presidency University, Bangalore India
- Source: Data Science for Agricultural Innovation and Productivity , pp 194-207
- Publication Date: February 2024
- Language: English
An Overview of Building a Global Data Area on the Web for Farming, Page 1 of 1
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A collection of best practices for publishing as well as connecting structured data on the Web is referred to as "Linked Data." In the past ten years, the practice of Linked Open Data has significantly increased the structured data available on the Web. This structured data provides machine-readable descriptions of real-world items, opening hitherto unheard-of opportunities for research around natural language processing. With the aid of technology, the agriculture sector advanced significantly, becoming more data-driven and intelligent. Studies on how these data can be used, for what kinds of tasks, and to what degree they can be helpful for agricultural tasks, however, are lacking. Our paper puts an effort into providing an overview of concepts and technologies in the Semantic Web and their applicability to farming.
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