• Title/Summary/Keyword: Livestock machinery

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Analysis of Domestic Production and Import Trends of Livestock Machinery (축산기계의 국내 생산과 수입동향 분석 연구)

  • 이영진;장동일
    • Journal of Animal Environmental Science
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    • v.4 no.2
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    • pp.105-111
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    • 1998
  • The study was conducted to analyze the directions of domestic production and import of livestock machinery and to propose their direction of development. The results of this study are as follows ; 1. Most of livestock machinery for feeding and watering systems are manufactured by a domestic skill. But their performances and know-how are behind those of the advanced countries. 2. The know-how and ratios of the market share of feeding systems for pigs are evaluated high, but researches of total automatic systems for them are very insufficient. 3. Feeding and milking systems for milk-cow are in the conditions of a weak technologies, which should be studied in the future.

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Predicting Common Patterns of Livestock-Vehicle Movement Using GPS and GIS: A Case Study on Jeju Island, South Korea

  • Qasim, Waqas;Cho, Jea Min;Moon, Byeong Eun;Basak, Jayanta Kumar;Kahn, Fawad;Okyere, Frank Gyan;Yoon, Yong Cheol;Kim, Hyeon Tae
    • Journal of Biosystems Engineering
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    • v.43 no.3
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    • pp.247-254
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    • 2018
  • Purpose: Although previous studies have performed on-farm evaluations for the control of airborne diseases such as foot-and-mouth disease (FMD) and influenza, disease control during the process of livestock and manure transportation has not been investigated thoroughly. The objective of this study is to predict common patterns of livestock-vehicle movement. Methods: Global positioning system (GPS) data collected during 2012 and 2013 from livestock vehicles on Jeju Island, South Korea, were analyzed. The GPS data included the coordinates of moving vehicles according to the time and date as well as the locations of livestock farms and manure-keeping sites. Data from 2012 were added to Esri software ArcGIS 10.1 and two approaches were adopted for predicting common vehicle-movement patterns, i.e., point-density and Euclidean-distance tools. To compare the predicted patterns with actual patterns for 2013, the same analysis was performed on the actual data. Results: When the manure-keeping sites and livestock farms were the same in both years, the common patterns of 2012 and 2013 were similar; however, differences arose in the patterns when these sites were changed. By using the point-density tool and Euclidean-distance tool, the average similarity between the predicted and actual common patterns for the three vehicles was 80% and 72%, respectively. Conclusions: From this analysis, we can determine common patterns of livestock vehicles using previous year's data. In the future, to obtain more accurate results and to devise a model for predicting patterns of vehicle movement, more dependent and independent variables will be considered.

STRAW HARVESTER FOR ANIMAL FEED

  • Kim, Sang-Hun;Shin, Beom-Soo;Nam, Sang-Il
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1996.06c
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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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A HACCP model for By-products feed production

  • Dooyum, Uyeh Daniel;Woo, Seung Min;Kim, Jun Hee;Lee, Dong Hyun;Ha, Yu Shin
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2017.04a
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    • pp.136-136
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    • 2017
  • By-products has been considered lately in Total Mixed Ration (TMR) as an alternative to livestock feed around the world. This is due to the high cost of using forage as feed, less expense in exploring by-products of agriculture origin and environmental concerns with their disposal. However, by-products usually contain contaminants and the production process requires fermentation using a storage and fermentation tank. Animal feed is the start point of the food safety chain in the 'farm-to-fork' model. This necessitated a study to model a protocol that will culminate to safe feed production. Hazard analysis and critical control points (HACCP), a systematic preventive approach to food safety from biological, chemical and physical hazards in production processes that can cause the finished product to be unsafe was explored. Implementation of this model provides a mechanism that ensures product safety is continuously achieved. The entire production process of By-products feed production was evaluated using HACCP wizard software. This includes the plant layout, technical standards, storage and fermentation tank cleansing method, staff assignment, safety control method, and distribution. The potential biological, chemical, and physical hazards that may exist in every step of the production process were identified, and then critical control points (CCPs) were selected. This will ensure the safety of products made from livestock that consumes by-product feed. These includes cheese, milk, beef, etc.

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Predicting Common Moving Pattern of Livestock Vehicles by Using GPS and GIS: A case study of Jeju Island, South Korea

  • Qasim, Waqas;Jo, Jae Min;Jo, Jin Seok;Moon, Byeong Eun;Ko, Han Jong;Son, Won Geun;Son, Se Seung;Kim, Hyeon Tae
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2017.04a
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    • pp.31-31
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    • 2017
  • On farm evaluation for the control of airborne diseases like FMD and flu virus has been done in past but control of disease in process of transportation of livestock and manures is still needed. The objective of this study was to predict a common pattern of livestock vehicles movement. The analysis were done on GPS data, collected from drivers of livestock vehicles in Jeju Island, South Korea in year 2012 and 2013. The GPS data include the coordinates of moving vehicles according to time and dates, livestock farms and manure keeping sites. 2012 year data was added to ArcGIS and different tools were used for predicting common vehicle moving pattern. The common pattern of year 2012 were determined and considered as predicted common pattern for year 2013. To compare with actual pattern of year 2013 the same analysis was done to find the difference in 2012 and 2013 pattern. When the manure keeping sites and livestock farms were same in both years, as a result common pattern of 2012 and 2013 were similar but difference were found in patterns when the manure keeping sites and livestock farms were changed. In future for more accurate results and to predict the accurate pattern of vehicles movement, more dependent and independent variables will be required to make a suitable model for prediction.

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