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http://dx.doi.org/10.33778/kcsa.2022.22.5.069

A Study on Analysis of Problems in Data Collection for Smart Farm Construction  

Kim Song Gang (중부대학교 스마트 IT학과)
Nam Ki Po (농협대학교 협동조합디지털경영과)
Publication Information
Convergence Security Journal / v.22, no.5, 2022 , pp. 69-80 More about this Journal
Abstract
Now that climate change and food resource security are becoming issues around the world, smart farms are emerging as an alternative to solve them. In addition, changes in the production environment in the primary industry are a major concern for people engaged in all primary industries (agriculture, livestock, fishery), and the resulting food shortage problem is an important problem that we all need to solve. In order to solve this problem, in the primary industry, efforts are made to solve the food shortage problem through productivity improvement by introducing smart farms using the 4th industrial revolution such as ICT and BT and IoT big data and artificial intelligence technologies. This is done through the public and private sectors.This paper intends to consider the minimum requirements for the smart farm data collection system for the development and utilization of smart farms, the establishment of a sustainable agricultural management system, the sequential system construction method, and the purposeful, efficient and usable data collection system. In particular, we analyze and improve the problems of the data collection system for building a Korean smart farm standard model, which is facing limitations, based on in-depth investigations in the field of livestock and livestock (pig farming) and analysis of various cases, to establish an efficient and usable big data collection system. The goal is to propose a method for collecting big data.
Keywords
Smart Farm; Bigdata Collection; Smart pig farming; Edge Computing; Da; Smart Farm Construction;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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