• Title/Summary/Keyword: Smart livestock

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Standardization Plan of Smart livestock Cattle Breeding Management device and Collected Information

  • Rho, Si-Young;Lee, Jae-Su;Yang, Pyoung-Woo;Baek, Jeong-Hyun;Lee, Hyun-dong
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.9
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    • pp.107-112
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    • 2018
  • Smart livestock has been proposed as a solution to increase farmers' income and new recruitment of livestock farmers. In this paper, a standardization Plan of breeding management device and collected information for smart livestock cattle was proposed. l Sophisticatedly, basic information will be established for all six types of livestock breeding management device: military automatic feeder, calf automatic feeder, smart milk cooler, feed bin to be able to measure feed residue, smart scale, and biometric information collection device. The standardization, common use, and stabilization of major livestock management device and collected information were suggested to solve the problems caused by in existing breeding management device.

Smart Livestock Research and Technology Trend Analysis based on Intelligent Information Technology to improve Livestock Productivity and Livestock Environment (축산물 생산성 향상 및 축산 환경 개선을 위한 지능정보기술 기반 스마트 축사 연구 및 기술 동향 분석)

  • Kim, Cheol-Rim;Kim, Seungchoen
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.4
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    • pp.133-139
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    • 2022
  • Recently, livestock farms in Korea are introducing data-based technologies to improve productivity, such as livestock environment and breeding management, safe livestock production, and animal welfare. In addition, the government has been conducting a smart livestock distribution project since 2017 through the modernization of ICT-based livestock facilities in order to improve the productivity of livestock products and improve the livestock environment as a policy. However, the current smart livestock house has limitations in connection, diversity, and integration between monitoring and control. Therefore, in order to intelligently systemize all processes of livestock with intelligent algorithms and remote control in order to link and integrate various monitoring and control, the Internet of Things, big data, artificial intelligence, cloud computing, and mobile It is necessary to develop a smart livestock system. In this study, domestic and foreign research trends related to smart livestock based on intelligent information technology were introduced and the limitations of domestic application of advanced technologies were analyzed. Finally, future intelligent information technology applicable to the livestock field was examined.

Sensor Data Standardization Trends for Smart Agriculture and Livestock (스마트 농축산 센서 데이터 표준화 동향)

  • Kim, Young-Dong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.594-597
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    • 2016
  • Smart agriculture and livestock is one of convergence technology which is combined smart technology based on ICT(Information and Communication Technology) and all processes of agriculture and livestock. Sensor data technology in smart agriculture and livestock is considered with important factor as base technology for measurement and collection of environment condition, management of product quality status. In this paper, Sensor technology and standardization trend for smart agriculture and livstock is investigated. Results of this study can be used as basic data for smart agriulture and livestock standardization which is curently under proecssing at domestic and abroad.

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A Study on Smart Korean Cattle Livestock Management Platform based on IoT and Machine Learning (IoT 및 머신러닝 기반 스마트 한우 축사관리 플랫폼에 관한 연구)

  • Park, Jun;Kim, Jun Yeong;Kim, Jeong Hoon;Bang, Ji Hyeon;Jung, Se Hoon;Sim, Chun Bo
    • Journal of Korea Multimedia Society
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    • v.23 no.12
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    • pp.1519-1530
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    • 2020
  • As livestock farms grow in size, the number of breeding individuals increases, making it difficult to manage livestock. Livestock farms require an integrated management system such as a monitoring system, an access control system, and an abnormal behavior detection system to manage livestock houses. In this paper, a smart korean cattle livestock management system using IoT and AI technology was proposed for livestock management in livestock farms. The smart korean cattle farm management system consists of a monitoring and control system, a vehicle access management system, and an abnormal cattle behavior detection system. It is expected that this will help manage large-scale livestock houses, and additional research is needed to improve the performance of abnormal behavior detection in the future.

SmartPhone-based Application Development for the Implementation of the Ubiquitous Livestock Barn (유비쿼터스 축사 구현을 위한 스마트폰 어플리케이션 개발)

  • Hwang, J.H.;Yoe, H.
    • Smart Media Journal
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    • v.1 no.1
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    • pp.53-57
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    • 2012
  • Smart phone and its applications are currently bringing about significant changes in our lives and it is expected that applying such technology in the area of agriculture could increase the value added and productivity of agriculture with its various uses. This paper proposed a smartphone-based application for monitoring and managing livestock barn in real-time anytime, anywhere. In the proposed application, the livestock barn environment and video information collected in ubiquitous livestock barn based on wireless sensor networks can be used by user to monitor the livestock barn in real-time through the use of smart phone to control the livestock barn facilities anytime, anywhere. This application can provide user convenience and increase productivity by allowing users to control their livestock barn facilities.

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A Study on Effects of Adopting ICT in Livestock Farm Management on Farm Sales Revenue (정보화기기 활용이 국내 축산농가 총판매금액에 미치는 영향 분석)

  • Hanna Jeong;Jimin Shim;Yerin Lim;Jongwook Lee
    • Journal of Korean Society of Rural Planning
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    • v.30 no.1
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    • pp.81-97
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    • 2024
  • This study examines the effects of adopting Information and Communication Technology (ICT) in livestock farm management on farm sales revenue. Using the 2020 Census of Agriculture, Forestry, and Fisheries, a nationally representative data set constructed by Statistics Korea, this study focuses on a sample of 9,020 livestock farms in South Korea. We employ Propensity Score Matching (PSM) methods to address the potential selection bias between 2,076 farms that used ICT for livestock farm management and 6,944 farms that did not. The findings consistently show that the use of ICT significantly increases farm revenue, taking into account the selection bias. The utilization of ICT in livestock farms leads to a higher increase in sales revenue, particularly for farms with greater sales.

Livestock Disease Forecasting and Smart Livestock Farm Integrated Control System based on Cloud Computing (클라우드 컴퓨팅기반 가축 질병 예찰 및 스마트 축사 통합 관제 시스템)

  • Jung, Ji-sung;Lee, Meong-hun;Park, Jong-kweon
    • Smart Media Journal
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    • v.8 no.3
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    • pp.88-94
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    • 2019
  • Livestock disease is a very important issue in the livestock industry because if livestock disease is not responded quickly enough, its damage can be devastating. To solve the issues involving the occurrence of livestock disease, it is necessary to diagnose in advance the status of livestock disease and develop systematic and scientific livestock feeding technologies. However, there is a lack of domestic studies on such technologies in Korea. This paper, therefore, proposes Livestock Disease Forecasting and Livestock Farm Integrated Control System using Cloud Computing to quickly manage livestock disease. The proposed system collects a variety of livestock data from wireless sensor networks and application. Moreover, it saves and manages the data with the use of the column-oriented database Hadoop HBase, a column-oriented database management system. This provides livestock disease forecasting and livestock farm integrated controlling service through MapReduce Model-based parallel data processing. Lastly, it also provides REST-based web service so that users can receive the service on various platforms, such as PCs or mobile devices.

A Case Study on Smart Livestock with Improved Productivity after Information and Communications Technologies Introduction

  • Kim, Gok Mi
    • International Journal of Advanced Culture Technology
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    • v.9 no.1
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    • pp.177-182
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    • 2021
  • The fourth industrial revolution based on information and communication technology (ICT) becomes the center of society, and the overall industrial structure is also changing significantly. ICT refers to the hardware of information devices and the software technologies required for the operation and information management of these devices, and any means of collecting, producing, processing, preserving, communicating and utilizing them. ICT is integrated into industries and services or combined with new technologies in various fields such as robotics and nanotechnology to connect all products and services to the network. The development of ICT, which continuously creates new products and services, has spread to all sectors of the industry, affecting not only daily life but also the livestock sector recently. In agriculture, ICT technology can reduce production costs by efficiently managing labor and energy because it can improve quality and yield based on data on environmental and growth information such as temperature, humidity, light and soil. In particular, smart livestock is considered suitable for achieving livestock management goals because it can reduce labor force and improve productivity by remotely and automatically managing accurate information necessary for raising and breeding livestock with ICT devices. The purpose of this study is to propose the need for ICT technology by comparing farm productivity before and after ICT is introduced. The method of the study is to compare the productivity before and after the introduction of ICT in Korean beef farms, pig farms, and poultry farms. The effectiveness of the study proved the excellence of ICT technology through the production results before ICT introduction and the productivity improvement case of livestock farms that efficiently operated manpower management and reduced labor force after ICT introduction. The conclusion of this paper is to present the need for smart livestock through ICT adoption through case study results.

Applying a smart livestock system as a development strategy for the animal life industry in the future: A review (미래 동물생명산업 발전전략으로써 스마트축산의 응용: 리뷰)

  • Park, Sang-O
    • Journal of the Korean Applied Science and Technology
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    • v.38 no.1
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    • pp.241-262
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    • 2021
  • This paper reviewed the necessity of a information and communication technology (ICT)-based smart livestock system as a development strategy for the animal life industry in the future. It also predicted the trends of livestock and animal food until 2050, 30 years later. Worldwide, livestock raising and consumption of animal food are rapidly changing in response to population growth, aging, reduction of agriculture population, urbanization, and income growth. Climate change can change the environment and livestock's productivity and reproductive efficiencies. Livestock production can lead to increased greenhouse gas emissions, land degradation, water pollution, animal welfare, and human health problems. To solve these issues, there is a need for a preemptive future response strategy to respond to climate change, improve productivity, animal welfare, and nutritional quality of animal foods, and prevent animal diseases using ICT-based smart livestock system fused with the 4th industrial revolution in various aspects of the animal life industry. The animal life industry of the future needs to integrate automation to improve sustainability and production efficiency. In the digital age, intelligent precision animal feeding with IoT (internet of things) and big data, ICT-based smart livestock system can collect, process, and analyze data from various sources in the animal life industry. It is composed of a digital system that can precisely remote control environmental parameters inside and outside the animal husbandry. The ICT-based smart livestock system can also be used for monitoring animal behavior and welfare, and feeding management of livestock using sensing technology for remote control through the Internet and mobile phones. It can be helpful in the collection, storage, retrieval, and dissemination of a wide range of information that farmers need. It can provide new information services to farmers.

GS1 EPCIS Event Schema Design and Information operation method for Smart Livestock Barn Sensor Data (스마트축사 센서데이터에 대한 GS1 EPCIS 이벤트 스키마설계 및 정보 운용방법)

  • Woo, Sung-pil;Byun, Jae-wook;Kim, Hyun-seob;Kim, Dae-young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.408-411
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    • 2017
  • This paper deals with how to operate sensor data in smart livestock barn environment through EPCIS event schema design based on GS1 standard. We defines the types of sensors used in the smart livestock barn environment, describes the information using the GS1 standard identifier, standard event / master data structure, and standard interface for operating the sensor information, and stores / shares various sensor information of smart livestock barn defined in the schema structure.

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