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  • 學位論文

豬隻生長履歷系統之開發

The Development of Traceability System for Pigs

指導教授 : 蔡玉娟

摘要


本研究開發養豬產業資訊系統,提供養豬場分析及改善養豬場的效率,系統主要分為三大模組:(1)經營管理模組維護養豬場的各項資料,如養豬場基本資料、環境資料;(2)生產履歷模組將豬隻從分娩、成長、售出的流程建立對應的功能,其中生產履歷功能作為維護種豬的基本資料,紀錄母豬歷次交配紀錄如交配公豬品種、生產頭數、生產日期等;成長履歷功能中依據豬隻出生日期、品種與數量,製作成長履歷,記錄豬隻於哺乳期、保育期、生長期及肥育期各時期之作業與影像資料;交易管理功能紀錄出售豬隻之統計平均體重、平均價格、總頭數;(3)資料分析模組對系統產出之成長履歷進行飼料換肉率分析,分析結果顯示豬隻成長各時期之總增重量、總飼料量及飼料換肉率。

並列摘要


This research develops a pig industry information system for pig farm measuring and improvement production efficiency. The system is mainly divided into three modules: (1) Management module designed to manage pig farm information, such as basic information of pig farms, environment data (2) Production traceability module tracking the flow of the pig from the childbirth, growth, and sale. The production history function is used as the basic information maintenance for breeding pigs, and records the previous mating records of the sows, such as mating boar breeds, number of piglets, the date of birth, etc.; the growth history function is used as made a traceability record for group of pigs in lactation, childcare, growth and fattening period. The content includes image data and operation detail. The trade management function records the average weight, average price, and total number of pigs sold; (3)Data analysis module analyzes the feed conversion rate from Production traceability module output data, and the analysis results show pigs weight gain, total feed intake and feed conversion rate in each period.

參考文獻


英文文獻
[1] Agrawal, R., and Srikant, R. "Fast algorithms for mining association rules." Proc. 20th inlt. conf, VLDB. Vol. 1215, 1994.
[2] Boyazoglu, J. "Livestock farming as a factor of environmental, social and economic stability with special reference to research1." Livestock Production Science 57.1 (1998): 1-14.
[3] Stender, D. R. "Swine Feed Efficiency: Influence of Market Weight." Iowa Pork Industry Center Fact Sheets. 9. 2012
[4] El-Hajj, M., and Zaiane, O. R. "COFI-tree mining: A new approach to pattern growth with reduced candidacy generation." Workshop on Frequent Itemset Mining Implementations (FIMI’03) in conjunction with IEEE-ICDM. 2003.

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