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http://dx.doi.org/10.17661/jkiiect.2022.15.5.413

A Study on the Patent Trend of 'Smart Farm' in Domestic through Network Analysis  

Min, Kyong-Bin (Dept. of Computer Science and Engineering, Sangji University)
Park, Hong-Jin (Dept. of Computer Science and Engineering, Sangji University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.15, no.5, 2022 , pp. 413-422 More about this Journal
Abstract
Smart farms are receiving a lot of attention as a way to solve the chronic labor shortage and aging problems in agriculture. The smart farm industry, called the 6th industrial revolution, needs to strengthen its competitiveness. In order to apply innovative IT technology to agriculture, it is important to collect and analyze information about prior research or patents. This paper examines smart farm patent trends through 5,789 patent data related to smart farm using the domestic patent information search service(KIPRIS). This paper examines the domestic patent trends of smart farm information through keyword network, ego network, simultaneous appearance network, and bigram network analysis. As a result of network analysis related to smart farm patents, patents related to smart farm systems and control technologies were the most common. This paper can provide help in setting the direction of future smart farm-related patent research.
Keywords
Ego Network; Network Analysis; Patent; Smart Farm; System;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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