• Title/Summary/Keyword: Smart Farm System

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Development of Snow Load Sensor and Analysis of Warning Criterion for Heavy Snow Disaster Prevention Alarm System in Plastic Greenhouse (비닐온실 폭설 방재 예·경보 시스템을 위한 설하중 센서 개발과 적설 경보 기준 분석)

  • Kim, Dongsu;Jeong, Youngjoon;Lee, Sang-ik;Lee, Jonghyuk;Hwang, Kyuhong;Choi, Won
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.2
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    • pp.75-84
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    • 2021
  • As the weather changes become frequent, weather disasters are increasing, causing more damage to plastic greenhouses. Among the damage caused by various disasters, damage by snow to the greenhouse takes a relatively long time, so if an alarm system is properly prepared, the damage can be reduced. Existing greenhouse design standards and snow warning systems are based on snow depth. However, even in the same depth, the load on the greenhouse varies depending on meteorological characteristics and snow density. Therefore, this study aims to secure the structural safety of greenhouses by developing sensors that can directly measure snow loads, and analysing the warning criteria for load using a stochastic model. Markov chain was applied to estimate the failure probability of various types of greenhouses in various regions, which let users actively cope with heavy snowfall by selecting an appropriate time to respond. Although it was hard to predict the precise snow depth or amounts, it could successfully assess the risk of structures by directly detecting the snow load using the developed sensor.

Development of crop harvest prediction system architecture using IoT Sensing (IoT Sensing을 이용한 농작물 수확 시기 예측 시스템 아키텍처 개발)

  • Oh, Jung Won;Kim, Hangkon
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.6
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    • pp.719-729
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    • 2017
  • Recently, the field of agriculture has been gaining a new leap with the integration of ICT technology in agriculture. In particular, smart farms, which incorporate the Internet of Things (IoT) technology in agriculture, are in the spotlight. Smart farm technology collects and analyzes information such as temperature and humidity of the environment where crops are cultivated in real time using sensors to automatically control the devices necessary for harvesting crops in the control device, Environment. Although smart farm technology is paying attention as if it can solve everything, most of the research focuses only on increasing crop yields. This paper focuses on the development of a system architecture that can harvest high quality crops at the optimum stage rather than increase crop yields. In this paper, we have developed an architecture using apple trees as a sample and used the color information and weight information to predict the harvest time of apple trees. The simple board that collects color information and weight information and transmits it to the server side uses Arduino and adopts model-driven development (MDD) as development methodology. We have developed an architecture to provide services to PC users in the form of Web and to provide Smart Phone users with services in the form of hybrid apps. We also developed an architecture that uses beacon technology to provide orchestration information to users in real time.

Development of Building System for Achieving an Optimal Growth Environment in a Vertical Smart Farm (수직형 스마트 팜의 적정 생육환경 조성을 위한 건축 시스템 개발 - 수직형 스마트 팜에 최적화된 내부 공기 균일성 향상에 대한 연구 -)

  • Kim, Handon;Lee, Jeonga;Choi, Seun;Jang, Hyounseung;Kim, Jimin
    • Korean Journal of Construction Engineering and Management
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    • v.22 no.4
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    • pp.3-10
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    • 2021
  • According to the IPCC, humans are influencing the climate system. Such changes in the climate system can cause problems in the supply of food ingredients in the agricultural field by changing the existing growing environment. To solve this problem, vertical farms can be a good alternative for a stable supply of food ingredients. Although the vertical smart farm pays close attention to maintaining and managing the growing environment of crops, it is difficult to uniformly implement temperature, humidity, illumination, oxygen, and carbon dioxide concentrations in the building space. As a result of conducting computational fluid dynamics analysis to ensure air uniformity, a remarkable result is that it is advantageous to continuously spray suitable carbon dioxide CO2 concentrations for a long period of time for air uniformity in a vertical smart farm. Through this result, it is possible to efficiently plan a growing environment system optimized for a vertical smart farm. Based on this study, if efficient crops are produced by creating an optimized growing environment for vertical smart farms, it will be able to contribute to the development of the agricultural field.

MCU Module Design for Smart Farm Sensor Processing (스마트팜 센서 처리용 MCU 모듈 설계)

  • Kim, Gwan-hyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.285-286
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    • 2021
  • With the recent development of Internet of Things (IoT) technology, smartization technology is expanding to the fields of agriculture, livestock, and fisheries, and smartization is in progress. In this smart technology, the most important thing is how to measure the data in the field and transmit it to the management system. Currently, the sensors used in the construction of smart farms and other livestock houses and farms are measuring and monitoring smart farms and other environmental conditions through various sensors such as temperature, humidity, CO gas, CO2, hydrogen, and O2. The communication method between these sensors and the HMI (Human Machine Interface) module that controls and manages the smart farm is still mainly using the RS-485-based modbus-RTU method. In this paper, we intend to design the MCU module for HMI so that various sensor modules can be connected to manage data through the RS-485-based Modbus method so that the sensor data required for smart farm construction can be managed by the HMI module.

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A Study on the Implementation of an Android-based Educational IoT Smartfarm (안드로이드 기반 교육용 IoT 스마트팜 구현에 관한 연구)

  • Park, Se-Jun
    • Journal of Platform Technology
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    • v.9 no.4
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    • pp.42-50
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    • 2021
  • Recently, the need to introduce smart farms is increasing in order to solve the problems of intensifying competition such as a decrease in rural population due to aging, a decrease in production, and the inflow of foreign agricultural products, and accordingly, the need for education is increasing. This paper is a study on the implementation of an Android-based IoT smart farm for education so that it can be used in a real environment by reducing the farm's smart farm system. To confirm that Android-based education can be applied in a real environment using the IoT smart farm for education, experiments were performed in automatic mode and manual mode using Bluetooth, Wi-Fi, and server/client communication methods. In the automatic mode, the current status can be checked in real time by receiving all data, and in the manual mode, commands are transmitted in real time using the received sensor data and remote control is performed. As a result of the experiment, it was possible to understand the characteristics of each communication method, and it was confirmed that remote monitoring and remote control of the smart farm using the Android App was possible.

Simulation of Solar Irradiance Distribution Under Agrivoltaic Facilities (영농형 태양광 발전 시설 하부의 일사량 분포 모의)

  • Jeong, Young-Joon;Lee, Sang-Ik;Lee, Jong-Hyuk;Seo, Byung-Hun;Kim, Dong-Su;Lee, Jimin;Choi, Won
    • Journal of The Korean Society of Agricultural Engineers
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    • v.64 no.2
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    • pp.1-13
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    • 2022
  • Agrivoltaic facility is the composite system that the solar panel is installed above the farmland, and it enables crop and electricity production simultaneously. Solar panels of the agrivoltaic facilities can block and reduce the amount of solar irradiance arriving at the farmland, but it can help the crop growth by preventing excessive solar irradiance. Therefore, to clarify how the agrivoltaic facilities affect the crop growth, precise solar irradiance distribution under the solar panel should be modeled. In this study, PAR (photosynthetically active radiation), radiation from 400 to 700 nm, which crops usually use to grow, was extracted from the total irradiance and its distribution model under various conditions was developed. Monthly irradiance distributions varied because the elevation of the sun was changed over time, which made the position changed that the local maximum and minimum irradiance appear. The higher panel height did not cause any significant difference in the amount of irradiance reaching below the solar panel, but its distribution became more uniform. Furthermore, the panel angles with the most irradiance arriving below the solar panel were different by month, but its difference was up to 2%p between the irradiance with 30° angle which is usually recommended in Korea. Finally, the interval between panels was adjusted; when the ratio of the length of the panel to the empty space was 1:2, the irradiance of 0.719 times was reached compared to when there was no panel, 0.579 times for 1:1 and 0.442 times for 2:1.

A Farm management System Using Drone (무인비행체를 이용한 방목형 목장관리 시스템)

  • Jung, Nyum;Kim, Sang-Hoon
    • Journal of Digital Contents Society
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    • v.18 no.5
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    • pp.889-894
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    • 2017
  • The purpose of this paper is to implement smart farm using automatic navigation, short - range wireless communication network technology, and automatic take - off and landing system using unmanned aerial vehicle to maximize the efficiency of grazing farm management. The grazing pasture management system that integrates ICT fusion technology for the activation of the mountain ecological livestock production is expected to contribute to the improvement of the productivity of the grazing livestock, the infrastructure to produce the excellent quality, and the competitiveness of the livestock industry in response to the FTA. And it will contribute to the improvement of career force through the supply to the farmhouse.

Research on Ways to Apply Smart Livestock Farming Based on Metaverse (메타버스 기반의 축사 스마트팜 적용 방안 연구)

  • YeonJae Oh
    • Smart Media Journal
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    • v.13 no.2
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    • pp.136-144
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    • 2024
  • In recent years, with the rapid development of IT technology and the aging of the population, various solutions to the labor shortage have emerged. In the livestock industry, there are an increasing number of management systems that utilize artificial intelligence technology. The Metaverse Smart Farm is a system that combines the digital virtual world with advanced agricultural technology. With this system, farmers can monitor the health of their animals in real time without having to visit the barns, and analyze the data collected through sensors and cameras for more efficient agricultural management. In addition, the barn environment can be adjusted through a remote control function, which is expected to reduce labor and revitalize the livestock industry.

The fourth industrial revolution and the future of food industry (4차산업혁명과 식품산업의 미래)

  • Yoon, Suk Hoo
    • Food Science and Industry
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    • v.50 no.2
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    • pp.60-73
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    • 2017
  • Recently, the whole world is facing an unprecedented moment of opportunity, so-called The Fourth Industrial Revolution. As emphasized in the World Economic Forum held in January of 2016 at Davos, the Fourth Industrial Revolution is not merely a changes of technological devices. The fundamental of the revolution is new, innovative, and visionary business models which change the whole systems dramatically. One of the greatest challenges is to feed an expected population of 9 billion by 2050 in a impactful way. The system should be sustainable as well as beneficial in improving the lives of people in the food chain along with the ecological health of environment. The technological advances of the Fourth Industrial Revolution are expected to improve our food system. The smart farm technology such as precision planting and irrigation techniques will improve the yields of food materials. The smart food transportation and logistics systems will substantially improve the safety and human nutrition. The adaptation the Fourth Industrial Revolution technology will induce the smart supply chains, smart production, and smart products in food industry due to its flexibility and standardization. This will lead the manufactures to adapt to customers' changing product specifications and traceable services in a timely manner.

A Case Study on the ICT-Based Smart Aquaculture System by Applying u-Farms (u-양식장을 적용한 ICT 기반 스마트 양식장 시스템 사례 연구)

  • Hwang, Sung-Il;Kim, Oe-Yeong;Lee, Seok-Yong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.2
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    • pp.173-181
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    • 2014
  • The Economist was implied most of the major fisheries are procured by aquaculture in 2030 affected by the Aquaculture Revolution. William Hallal was also predicted that amount of aquatic products will be about 50% of the total fishery in 2015. Various organizations had been conducted various u-farm researches and demonstration projects due to changing environment. This study aims to propose an ICT-based technologies and policies for the ICT-based smart system by identifying results and problems.