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Design and Implementation of Livestock Disease Forecasting System

가축 질병 예찰 시스템 설계 및 구현

  • Received : 2012.08.31
  • Accepted : 2012.12.07
  • Published : 2012.12.28

Abstract

Livestock disease that decreases the farm productivity and income leads to not only financial loss but also national loss from the spread of contagious disease. The purpose of this paper is to propose a livestock disease forecasting system that can diagnose disease of livestock at an early stage based on the livestock activity and body temperature. The proposed livestock disease forecasting system collect data on livestock activity and body temperature using a acceleration sensor and thermal imaging camera and comparing the data with control according to disease. It is expected that, this system can be accurately identify and prevent spread of livestock disease beforehand to minimize damages caused by disease to improve the productivity and the rate of return of livestock farms.

가축 질병은 축산농가에 생산성 및 소득 감소로 인한 경제적 손실을 가져올 뿐만 아니라 전염병 확산으로 인한 국가적 손실로 이어진다. 본 논문에서는 가축의 활동량 정보 및 체온 정보를 기반으로 가축 질병상태를 조기에 진단할 수 있는 가축 질병예찰 시스템을 제안하고자 한다. 제안하는 시스템은 가속도센서 및 열화상 카메라 장비로부터 수집된 데이터와 가축의 질병별 활동량 및 체온 정보 데이터를 비교함으로써 가축 질병상태를 조기에 진단할 수 있는 가축 질병예찰 시스템이다. 본 시스템을 통해 가축 질병을 미연에 정확히 판단하고 질병으로 인한 피해를 최소화함으로써 축산농가의 생산성 향상 및 수익률을 높일 수 있을 것으로 기대된다.

Keywords

Acknowledgement

Supported by : 한국연구재단

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