• 제목/요약/키워드: livestock farming

검색결과 295건 처리시간 0.028초

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

  • 오연재
    • 스마트미디어저널
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    • 제13권2호
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    • pp.136-144
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    • 2024
  • 최근 IT 기술의 급속한 발전과, 인구노령화에 따른 노동력 부족에 대한 다양한 방안들이 나타난다. 축산업에서도 인공지능 기술을 활용하여 관리하는 시스템들이 늘어나고 있다. 제안하는 메타버스 기반의 스마트 축사 시스템은 디지털 가상 세계와 첨단 농업 기술의 결합으로 구성된 시스템이다. 이 시스템을 통해, 특별한 상황에서는 농부들은 축사에 직접 방문하지 않고도 동물의 상태를 실시간으로 모니터링할 수 있으며, 센서와 카메라를 통해 수집된 데이터를 분석하여 보다 효율적인 농업 경영이 가능하다. 추가적으로, 원격 제어 기능을 통해 축사 환경의 조절이 가능하며, 이는 노동력 절감과 축산업의 활성화에 기여할 것이다.

가금질병과 방역 개선책 (Poultry Disease and Its Prevention)

  • 오경록
    • 한국가금학회지
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    • 제23권2호
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    • pp.99-106
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    • 1996
  • Because of the imminent market opening of livestock and poultry products, Korean poultry industry is faced an influx of contagious diseases from abroad. Due to the increasing trend of intensive and automatic poultry farming, the risks of catching various poultry epidemics are ever more increasing. For the prevention of poultry epidemics, the principles of biosecurity should be observed rather strictly. In addition, regular checking to confirm the presence or absence of latent diseases through serological test, post-mortem examination, and laboratory test, should be carried out routinely. Finally, all kinds of stress factors should be minimized to keep the flock healthy and productive, so that they can achieve their maximum genetic potential.

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STRAW HARVESTER FOR ANIMAL FEED

  • Kim, Sang-Hun;Shin, Beom-Soo;Nam, Sang-Il
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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    • pp.967-976
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    • 1996
  • Straw and other fibrous by-products are inevitably produced during cereal production and have traditionally been used for many purposes including feeding animals . The potential of these by -products as a feed resource for ruminants is being increasingly appreciated (FAO , 1977). In the future, the amount of cereals fed to farm animals will have to be reduced and livestock will have to rely more on by-products such as straw. The method of animal production can be classified by the major portion of feed. One is animal forage and the other is grains. In Korea , livestock farmers normally depend more than 70% upon grains for the feed stuff. The livestock production system causes the unbalance of nutrition, and results in low productivity of animal farming. In many livestock farms in Korea the rice straw is using as a major forage and the amount of rice straw fed takes 46% of total amount of required forages. Especially the rice straw is mainly using during spring, fall and winte season. However, there are still lots of problems to solved such as harvesting cost, transportation between rice farm ad livestock farm, and quality loss during drying and storage . Therefore the mechanization of straw harvesting is urgently needed to use the renewable agricultural by-products and to overcome the shortage of animal forage. The objective of this research is to develope a straw harvester with new concept which can solve the problems of the quality loss and the labor cost during drying in a field, collecting , and storage. The developed straw harvester is self-propelled machine rebuilt by rice combine and equipped with the pick-up device, the macerater and the mat-forming device.

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축산물 생산이력시스템 구현 및 산업내 적용방안에 관한 연구 (Case Study and Direction Traceability System for Stock Farm Products)

  • 강봉재;고완기;고석용;김휴찬
    • 한국컴퓨터정보학회논문지
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    • 제12권3호
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    • pp.235-241
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    • 2007
  • 국내농산물에 대한 원산지 확인 및 각 프로세스별 정보의 관리는 수입개방여파와 더불어 다양한 소비자계층의 다양한 기호를 충족시켜 줄 수 있는 안심하고 질 좋은 제품을 최종 소비자에게 전달하기 위한 시스템 구축에 많은 노력을 하고 있다. 이는 생산 농가에서 가공, 처리, 판매 단계에서 발생하는 많은 정보들이 원천데이터의 생성에서부터 판매단계까지의 정보가 잘 관리되고 있지 않다는 현실이 식품의 안전을 확인하는데 문제를 발생시키는바 생산이력정보시스템의 구축의 필요성을 야기하고 있다. 따라서 본 논문에서는 축산물의 생산에서 가공, 처리, 유통, 판매 과정에서 발생하는 각 프로세스별 관련 정보를 관리 처리할 수 있는 생산이력시스템(Traceability System)에 대한 국내외 사례와 일반 생산농가를 대상으로 한 시스템 구축과 도입방안에 대해 살펴보았다.

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농·축산 산업을 위한 디지털 트윈 아키텍처 및 세부 기술 구현에 관한 연구 (A Study on the Implementation of Digital Twin Architecture and Detailed Technology for Agriculture and Livestock Industry)

  • 정득영;김세한;이인복;여욱현;이상연;김준규;박세준
    • 방송공학회논문지
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    • 제26권4호
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    • pp.398-408
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    • 2021
  • 코로나-19 이후 세계 식량 부족 인구가 1억 3천만 명에서 2억 7천만 명으로 2배 이상 증가했다. 여기에 기후변화 등 식량 산업과 관련된 다양한 이슈들이 생겨나는 가운데 농·축산 분야의 중요성이 더욱 높아지고 있다. 특히 현장에서 발생하는 데이터의 활용에는 여전히 어려움을 겪고 있다. 본 논문에서는 단편적 분석 중심의 데이터 활용의 한계 및 디지털 트윈의 필요성을 설명하고, 디지털 트윈 기술의 적용을 통해 농·축산 생산 분야에 적합한 아키텍처 및 필요한 기술을 제안하였다. 시설원예, 축산 등에 지능정보 융합 기술을 접목하여 노동력 절감과 생산성 향상, 개인화된 소비, 운송, 유통 등 가까운 미래에 사용될 수 있는 디지털 트윈 기반의 서비스도 제안하였다.

광역친환경농업단지의 경축순환자원 양분관리 (Management of Recycled Nutrient Resources using Livestock Waste in Large-Scale Environment-Friendly Agricultural Complex)

  • 문영훈;안병구;정성수
    • 한국토양비료학회지
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    • 제45권2호
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    • pp.177-184
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    • 2012
  • 광역친환경농업단지의 경축순환자원 활용실태를 파악하기 위해 전북 완주군 고산광역친환경농업단지의 토양특성과 축분퇴비 소요량 등을 조사하였다. 주요작물 재배면적은 2,353 ha (벼 1,398 ha, 감 189 ha 등)이며 이 가운데 친환경 참여면적은 402.9 ha이고, 주요 축종사육은 한우 21,077, 젖소 1,099, 돼지 32,993마리 등 총 58,955 마리이었다. 경축자원화센터에 유입되는 분뇨는 한우, 돼지 각각 6,000 마리, 닭 200,000 마리 참여로 일일 32 Mg이고, 퇴비생산량은 연간 9,600톤이며, 비료성분은 T-N 1.4%, $P_2O_5$ 2.7%, $K_2O$ 2.1%, MgO 0.9%, CaO 2.5% 이었다. 친환경농업단지 내에서 소모되는 퇴비량은 6,588 Mg이었다. 친환경농업단지의 토양화학성분은 논의 경우 pH는 78.1%, 밭 58.2%, 과수원 60.3%, 비가림시설 재배지 62.1%가 적정범위였다. 유기물은 논의 경우 41.7%, 밭 46.5%, 과수원 40.5%, 비가림시설재배지 81.4%가 과잉으로 나타났다. 유효인산은 밭토양을 제외하고 64.9~91.7%가 과잉으로 나타났으며, 치환성 $K^+$, $Ca^{2+}$, $Mg^{2+}$은 과수원과 비가림시설재배지에서 53.2~70.2%가 과잉인 것으로 나타났다. 비가림시설 재배지의 토양화학성은 2년차 이후에 증가폭이 컸으며, 모든 농경지의 중금속 함량은 토양오염우려기준을 초과한 경우는 없었다. 친환경농업단지의 미생물분포는 일반농경지 보다 높았고, 호기성균의 경우 친환경농업단지의 밭과 과수원토양에서 가장 높았다.

세계중요농업유산(GIAHS) 등재지역 농업유산의 특성 분석 (Analysis on Characteristics of Agricultural Heritage in GIAHS sites)

  • 정명철;문효연;윤순덕;김상범
    • 농촌계획
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    • 제22권4호
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    • pp.171-182
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    • 2016
  • Since FAO introduced the Globally Important Agricultural Heritage Systems(GIAHS) in 2002, 36 sites of 15 countries so far have been listed on GIAHS. This study aims to find the important agricultural heritages of Korea and to prepare the methods for them to be selected as GIAHS. We have analyzed the proposals of the 36 GIAHS listed in order to study the characteristics of their components of the agricultural heritage which worked for being selected. To analyze the components of the agricultural heritage first, agricultural heritage was classified into 13 types and 42 components in light of GIAHS criteria. Then central themes were set to analyze the relevant contents in the proposals. They were, the type of GIAHS Site, significant agricultural landscape, the agriculture-forestry-fisheries-livestock linkage systems, the multi-layered, inter-cropping, circulation cultivation systems, the soil and water management systems, the conservation of agrobiological diversity and genetic resources, the history of the agricultural heritage, the succession of traditional farming techniques, the cultural diversity and so on. Most GIAHS are located in mountains, grasslands, rivers and coasts, desert than in plains, through which GIAHS assure us that it is the heritage of human challenge to overcome the harsh geographic environment and maintain a livelihood. In these sites the traditional farming techniques are carried on, such as mountain clearings, terraced rice paddies, and burn fields, and the unique irrigation systems and agricultural landscapes are well maintained, and the eco-friendly traditional farming techniques utilizing abundant forest resources and agriculture are well handed down. The origin or home of crop growing, a variety of genetic crop storage, the world's largest crop producer and preserving cultural diversity are also important factors for the selection.

농업인의 營農유형에 따른 健康管理 상태 (The Farmers′ health management status compared with different farming types)

  • 신영숙;정금주;이승교;박양자
    • 한국농촌생활과학회지
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    • 제9권2호
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    • pp.51-62
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    • 1998
  • This study was performed to suggest the health management of farmers compared with different farming types, such as rice plant, livestock, horticulture, orchard and others, for the farmer's health enhancement. For this study, 720 subjects were selected in 8 provinces through cluster method, and relevent caculations for the analysis of the subjects were made SAS program, and tested significance with x$^2$ and F value, those probability levels were 0.1%, 1% and 5%. Among the subjects, aged 40's were 38%, females 66%, elementary graduates (32%), and think of living conditions were average (67%). In the self-consciousness test for health, there was no significant difference of farmers with farming types. In the aspect of agricultural work situation, they took holidays according to the weather conditions or no pressed work to be done. And They took a break “when they feel tired during work”. For the recovery of fatigue, sleeping was chosen as the most favorite (68%) followed bathing (17%). but exercise was the lowest (7%). In the case of working conditions, 74% of them replied they work under average condition, and only 9% of them thought they were under pleasant surroundings. And 37% of them have had healthy food, for health practice and restorative for health. 20% of them have had breakfast irregularly. In addition to the regular meal intake, sufficient re자 and pleasant agricultural working conditions would be necessary for health, and the farmers themselves should recognize the importance and care of health. The project for enhancement of the farmers' health is needed and who should give guideline to have the responsibility for health.

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Livestock Production under Coconut Plantations in Sri Lanka: Cattle and Buffalo Production Systems

  • Ibrahim, M.N.M.;Jayatileka, T.N.
    • Asian-Australasian Journal of Animal Sciences
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    • 제13권1호
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    • pp.60-67
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    • 2000
  • A survey involving 71 cattle and buffalo farming households under coconut plantations was carried out in three districts (Pannala, Bingiriya and Kuliyapitiya) with the aim of assessing the status of livestock farming. Also, 24 households (eight from each district) were visited monthly for period of one year to collect information on feeding practices. Apart from milk, animals were reared for selling, draught, bio-gas and for manure. Due to difference in system of management of cattle and buffaloes, manure from buffaloes (46%) was more frequently used for coconuts than that from cattle (10%). Majority of cattle were improved breeds (temperate origin) or their crosses, as compared to buffaloes (mainly indigenous). The most predominant management system was tethered grazing during the day, and stall feeding during the night. Coconut land (own or others) and paddy fields were the major grazing areas for the animals. The grass from coconut land was lower in crude protein (8.2%) and digestibility (48%) compared to those from paddy fields (12.1 and 57%, respectively). Of the 288 rations analysed, grass was included in 280 of the daily rations for cattle as compared to 251 for buffaloes. Straw was more commonly included in mixed rations for buffaloes (137 out of 288) than for cattle (53 out of 288). The frequency of use of straw for buffaloes was high in Pannala (75 out of 137 cases). There was wide variation among the improved breeds of cattle and buffaloes in milk production (2 to 9 litres/day), lactation length (6 to 10 months) and calving interval (13-21 months).

The Identification of Japanese Black Cattle by Their Faces

  • Kim, Hyeon T.;Ikeda, Y.;Choi, Hong L.
    • Asian-Australasian Journal of Animal Sciences
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    • 제18권6호
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    • pp.868-872
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    • 2005
  • Individual management of the animal is the first step towards reaching the goal of precision livestock farming that aids animal welfare. Accurate recognition of each individual animal is important for precise management. Electronic identification of cattle, usually referred to as RFID (Radio Frequency Identification), has many advantages for farm management. In practice, however, RFID implementations can cause several problems. Reading speed and distance must be optimized for specific applications. Image processing is more effective than RFID for the development of precision farming system in livestock. Therefore, the aim of this paper is to attempt the identification of cattle by using image processing. The majority of the research on the identification of cattle by using image processing has been for the black-and-white patterns of the Holstein. But, native Japanese and Korean cattle do not have a consistent pattern on the body, so that identification by pattern is impossible. This research aims to identify to Japanese black cattle, which does not have a black-white pattern on the body, by using image processing and a neural network algorithm. 12 Japanese black cattle were tested. Values of input parameter were calculated by using the face image values of 12 cows. The face was identified by the associate neural memory algorithm, and the algorithm was verified by the transformed face image, for example, of brightness, distortion, noise and angle. As a result, there was difference due to a transformation ratio of the brightness, distortion, noise, and angle. The algorithm could identify 100% in the range from -30 to +30 degrees of brightness, -20 to +40 degrees of distortion, 0 to 60% of noise and -20 to +30 degree of angle transformed images.