A Study on the Change of Farm Using Artificial Intelligence Focused on Smart Farm in Korea

Author:

Hyunjin Chun

Abstract

Abstract With the recent climate change, the agricultural environment is rapidly changing. Also, most of the labor population in rural areas moves into cities, which causes a serious labor shortage in rural areas. To solve this problem, governments around the world try to use cutting-edge technologies such as smart farms in agriculture. In Korea, for example, where labor problems are serious, huge research funds are invested in smart farms. And, in this study, I analyzed the technology status of smart farms in Korea. In addition, this research analyzed the operational status of smart farms and predicted future changes in agriculture. The results of the study are as follows. Agriculture has been considered the primary industry of each nation until now, but in the future it will be transformed into a high-value industry combined with artificial intelligence. Also, in agriculture, artificial intelligence will not only be used in crop production, but also in packaging and transporting agricultural products based on big data and clouding technology. As a result, there will also be many changes in the distribution structure of agricultural products. As such, the latest technologies such as artificial intelligence will not only improve the productivity of crops, but also enhance the efficiency of the overall agricultural industry. This results can be used as theoretical basic data when making smart farms using artificial intelligence.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference8 articles.

1. Agricultural Management Innovation through the Adoption of Internet of Things:Case of Smart Farm.;Tae;Journal of Digital Convergence,2017

2. A Model Study for Development of Evaluation Criteria for Smart Farm Horticultural;Hyeong;Journal of the Korean Convergence Society,2017

3. Evaluating fidelity of lossy compression on spatiotemporal data from an IoT enabled smart farm.;Kyeung;Computers and Electronics in Agriculture,2018

4. Enhanced secure device authentication algorithm in P2P-based smart farm system.;Joo;Peer-to-peer networking and applications,2018

5. IoT and agriculture data analysis for smart farm.;Computers and Electronics in Agriculture,2019

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