• KOREAN POULTRY JOURNAL
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• v.50 no.10
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• pp.126-129
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• 2018

양계분야에 ICT(정보통신기술)의 접목 사례가 늘어가고 있다. 양계분야에서의 ICT는 급이, 급수, 환경관리가 주를 이루고 있으며, 최근에는 동물복지까지 범위를 확대하고 있다. 전자제어의 발달과 함께 ICT 기술은 스마트팜이라고 하는 새로운 시장을 창출해 가고 있는 것이다. 본고는 농장에서 쉽게 접근할 수 있도록 ICT를 접목하여 스마트팜 시대를 열어가고 있는 트윈(대표 나재훈)을 찾아 향후 ICT 개발 현황 및 농가 적용 방안 등을 알아보았다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.3
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• pp.201-210
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• 2019

This paper proposes the AMCS(Agricultural Machine Control System that distinguishes farms using satellite photos or drone photos of farms and controls the self-driving and operation of farm drones and tractors. The AMCS consists of the LSM(Local Server Module) which separates farm boundaries from sensor data and video image of drones and tractors, reads remote control commands from the main server, and then delivers remote control commands within the management area through the link with drones and tractor sprinklers and the PSM that sets a path for drones and tractors to move from the farm to the farm and to handle work at low cost and high efficiency inside the farm. As a result of AMCS performance analysis proposed in this paper, the PSM showed a performance improvement of about 100% over Dijkstra algorithm when setting the path from external starting point to the farm and a higher working efficiency about 13% than the existing path when setting the path inside the farm. Therefore, the PSM can control tractors and drones more efficiently than conventional methods.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.5
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• pp.256-264
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• 2023

Smart farm technology using IoT is one of the technologies that can increase productivity and improve the quality of agricultural products in agriculture, which is facing difficulties due to the decline in rural population, lack of rural manpower due to aging, and increase in diseases and pests due to climate change. . Smart farms using existing IoT simply monitor farms, implement smart plant growers, and have automatic greenhouse opening and closing systems. This paper implements a smart farm system based on MQTT, an industry standard protocol for the Internet of Things, and Node-RED, a representative development middleware for the Internet of Things. First, data is extracted from Arduino sensors, and data is collected and transmitted from IoT devices using the MQTT protocol. Then, Node-RED is used to process MQTT messages and store the sensing data in real time in MongoDB, a representative NoSQL, to store the data. Through this smart farm system, farm managers can use a computer or mobile phone to check sensing information on the smart farm in real time, anytime, anywhere, without restrictions on time and space.

• Journal of Advanced Technology Convergence
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• v.1 no.1
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• pp.1-6
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• 2022

Since 2015, the government has been making efforts to distribute Korean smart farms. However, the supply is limited to large-scale facility vegetable farms due to the limitations of technology and current cultivation research data. In addition, the efficiency and reliability compared to the introduction cost are low due to the simple application of IT technology that does not consider the crop growth and cultivation environment. Therefore, in this paper, data analysis services was performed based on public and external data. To this end, a data-based target smart farm system was designed that is suitable for the situation of farms growing in facilities. To this end, a farm risk information notification service was developed. In addition, light environment maps were provided for proper fertilization. Finally, a disease prediction model for each cultivation crop was designed using temperature and humidity information of facility farms. Through this, it was possible to implement a smart farm data service by linking and utilizing existing smart farm sensor data. In addition, economic efficiency and data reliability can be secured for data utilization.

• KOREAN POULTRY JOURNAL
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• v.48 no.2
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• pp.124-127
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• 2016

ICT 융복합 사업이 양돈에 이어 양계, 낙농분야로 확대되면서 이 분야에 대한 관심도가 높아지고 있다. ICT 융복합은 환경, 사양, 경영분야에 모두 적용되고 있으며, 이를 원하는 농가에 대해서는 ICT 융복합 장비를 정부에서 지원하는 사업이다. 이미 양돈 분야에서는 활성화가 이루어져 일부 지자체에서는 신청이 넘쳐나는 곳도 있을 정도로 농가들의 인식이 상당히 높아지고 있다. 환경관리에 있어서는 축사내부(온도, 습도, 정전, 화재), 외부(온도, 습도, 풍향, 풍속), CCTV 등의 정보수집 및 원격 모니터링이 이루어지게 되며, 사양관리는 사료빈 관리, 출하선별기, 자동급이기, 음수관리기, 기후변화에 따른 환경관리 등의 제어를 통한 사양관리가 이루어지며, 경영관리에 있어서는 생산관리, 경영관리, 출하관리 등을 통한 경영계획 수입 및 분석이 이루어지게 된다. 본고는 충남 청양군 장평리에 ICT융복합 스마트팜을 실현하고 있는 두꺼비농장(대표 박필수)을 찾아 ICT 종합관리시스템 적용사례를 들어보았다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.156-157
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• 2023

사물인터넷은 무선 통신 기술의 발달로 스마트 시티, 스마트 홈, 스마트 농장, 스마트 건물, 스마트 공장과 같은 다양한 분야에서 주목을 받고 있다. 특히 무선 통신 기술 중 하나인 블루투스 메쉬는 비동기 동적 스캐닝을 이용하여 저전력 통신을 제공하기 때문에 사물인터넷 분야에서 주목을 받고 있다. 본 논문은 네트워크의 신뢰성을 유지하면서 적은 계산 복잡도로 에너지 효율을 높이는 방법을 제안한다. 이를 통해 대부분의 저전력 무선네트워크 환경에서 효과적인 에너지 최적화를 실현한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.5
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• pp.628-636
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• 2021

This paper contains the implementation and performance evaluation results of a system that collects environmental data at the time when the wild animal intrusion occurred at farms and then predicts future wild animal intrusions through a machine learning-based Vector Autoregression(VAR) model. To collect the data for intrusion prediction, an IoT-based hardware prototype was developed, which was installed on a small farm located near the school and simulated over a long period to generate intrusion events. The intrusion prediction service based on the implemented VAR model provides the date and time when intrusion is likely to occur over the next 30 days. In addition, the proposed system includes the function of providing real-time notifications to the farmers mobile device when wild animals intrusion occurs in the farm, and performance evaluation was conducted to confirm that the average response time was 7.89 seconds.

• Journal of Appropriate Technology
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• v.6 no.2
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• pp.136-145
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• 2020

Agriculture is the backbone of the economy of most developing countries. In these countries, agriculture or farming is mostly done manually with little integration of machinery, intelligent systems and data monitoring. Irrigation is an essential process that directly influences crop production. The fluctuating amount of rainfall per year has led to the adoption of irrigation systems in most farms. The absence of smart sensors, monitoring methods and control, has led to low harvests and draining water sources. In this research paper, we introduce a 433 MHz Radio Frequency and 2G based Smart Irrigation Meter System and a water prepayment system for rural areas of Tanzania with no reliable internet coverage. Specifically, Ngurudoto area in Arusha region where it will be used as a case study for data collection. The proposed system is hybrid, comprising of both weather data (evapotranspiration) and soil moisture data. The architecture of the system has on-site weather measurement controllers, soil moisture sensors buried on the ground, water flow sensors, a solenoid valve, and a prepayment system. To achieve high precision in linear and nonlinear regression and to improve classification and prediction, this work cascades a Dynamic Regression Algorithm and Naïve Bayes algorithm.

• Korean Journal of Agricultural and Forest Meteorology
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• v.19 no.3
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• pp.180-194
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• 2017

Agricultural hazards management technology, which would allow individual farms to respond preemptively, has been developed. A preliminary system developed in the previous study provides precise weather forecasts by farms, notification of weather hazards by crops and delivery of response guidelines (http://www.agmet.kr). Although the GIS map-based alarm system has been implemented for a number of farmers and their farms, its user interface was not designed for individual users who seek information at their farms. In this study, we have developed a mobile application to provide early warnings of weather hazards up to 10 days in advance. A set of information including field-specific weather, crop growth stages and weather hazard alerts can be delivered to individual farmers through their mobile phone. This would guide users to access the map-based system using their smartphone to obtain field-specific weather information by the growth stage of cultivated crops. This would help the farmers make the better use of the existing weather-hazard GIS map-based alarm system.

• Monthly Duck's Village
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• s.248
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• pp.18-23
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• 2024

경기도는 경기도형 복지축산 실현과 ICT 기반 스마트 축산 구축으로 변화의 시작을 만들어 경기도형 탄소중립, 지속가능한 미래축산을 통해 도약의 기회를 마련한다는 계획이다. 경기도는 이를 위해 가축행복농장을 확대하고 안전한 사료를 공급하는 한편 축산 ICT 융복합을 확산하고 재난으로부터 안전한 가축 사육기반을 조성한다는 복안이다. 사람·환경·가축이 상생하는 경기 축산 실현을 목표로 하고 있는 경기도의 축산정책을 살펴보고 오리관련 정책을 톺아본다.