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研究生:鄭尹超
研究生(外文):Yin-Chao Cheng
論文名稱:應用RFID感應標籤探討環境因素對農產品貨架壽命影響之研究
論文名稱(外文):The Application of RFID Sensor to Investigate the Environmental Factors Influencing of Shelf Life for Agricultural Products
指導教授:陳凱瀛陳凱瀛引用關係
指導教授(外文):ZHEN,KAI-YING
口試委員:陳穆臻蔡佩芳邱垂昱
口試委員(外文):CHEN,MU-ZHENCAI,PEI-FANGQIU,CHUI-YU
口試日期:2013-06-13
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:工業工程與管理系碩士班
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:中文
論文頁數:99
中文關鍵詞:貨架壽命RFID倒傳遞類神經冷鏈
外文關鍵詞:Shelf lifeRFIDbackpropagation neuralcold chain
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在後WTO時代,須提升台灣水果之國際競爭力,政府提出許多針對性政策與措施,頗有成效。根據農委會在100年農業統計要覽的資訊中顯示出出農林漁牧主要農產品產量中[39],水果類農產品是近年來成長幅度最大的項目,民國100年度出口量創20年來新高,產量達2,797,734公噸。
台灣位處溫帶及亞熱帶地區,農產品外銷需要輔以先進的冷鏈物流技術,政府更在2013年開始推行的傳統產業維新方案中,計畫將大力推動與冷鏈有關的保鮮溯源物流服務計畫,期望成為MIT水果在國際行銷上一大助力[39]。
目前冷鏈物流已對物流環境進行完整的監視,但在實務過程中還是有5°C的溫差,而溫差範圍在3°C以內的時間佔總時間的85%以上[6]。由此可知實務過程中還是有環境因素的干擾,本研究利用RFID感應器瞭解環境因素對番石榴貨架壽命的影響,結合RFID與SQL自動化紀錄並建構資料庫,最後利用倒傳遞類神經發展出一套貨架壽命預測模型,並比較最陡坡降法、動量批次最陡坡降法及Levenberg-Marquardt(LM)三種不同訓練函數之貨架壽命預測模型,發現使用LM函數搭配相關參數能獲得表現較好的預測模型。
目前台灣官方與民間已有不少組織採用RFID農產品履歷,若能結合本研究成果,使RFID農產品履歷不僅能掌握產品來源,更進一步了解冷鏈運送後之產品貨架壽命並提高RFID農產品履歷的附加價值。


While Taiwan’s accession to the World Trade Organization in 2002 had to improve the international competitiveness of Taiwan fruits and after government targeted exports to strategic, the results have been encouraging. According to Agricultural Statistics for 2011 of Council of Agriculture, the value of fruit category exports got greatest growth recently and the value of exports was 2,797,734 tonnes in 2011
Because Taiwan geography location, the agricultural products were trasported by cold chain logistics and Taiwan launched an official reform program for traditional industries in 2013 which will vigorously promote the preservation and traceability of the cold chain logistics during it. Most perishable food was delivered and trasported by cold chain logistics, although it adapated a complete environment monitoring, but it still got 5°C temperature difference with pratice in Taiwan[3][7] and it took 85% time of overall process within 3°C temperature range. It can be seen from the practice, there were some interferences from environmental factors. The purpose of this study is understands the interferences from environmental factors in practice process by RFID sencor tags with SQL then develops a predicte model of shelf life with back-propagation neural algorithm.
In this study, it compares the performerce among difference train function as Steepest Descent Method, Steepest Descent Method with momentum and Levenberg-Marquardt (LM), then the Levenberg-Marquardt train function with relevant parameters get a best performerce in finale. RFID food traceability system could not only control production origins but understand their shelf life after cold chian logistic. It increased the added value of RFID traceability system if they can combine the results of this study.


摘要 i
ABSTRACT iii
誌謝 v
目錄 vi
表目錄 viii
圖目錄 ix
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 研究流程 2
1.4 論文架構 4
第二章 文獻回顧 5
2.1 農產品供應鏈 5
2.1.1低溫食品物流 6
2.1.2冷凍(藏)鏈(cold chain transportation) 8
2.1.3冷鏈物流實務 9
2.1.4農產品冷鏈物流 11
2.1.5農業產品(agri-products;agri-food) 特色 12
2.2 RFID 13
2.2.1 RFID感應器 (RFID Sensor) 16
2.3 食品安全 18
2.3.1 食品產銷履歷 19
2.3.2 食品安全規章 20
2.4 農產貨架壽命(Shelf Life)概論 22
2.4.1 蔬果貨架壽命內部關鍵因素 23
2.4.2蔬果貨架壽命外部關鍵因素 23
2.4.3蔬果貨架壽命外部關鍵因素-溫度、濕度、乙烯 24
2.5 農產品貨架壽命的預測方法 26
2.5.1加速壽命試驗(Accelerated shelf life tests, ASLT) 28
2.6 預測工具 29
2.6.1 迴歸分析 29
2.6.2 類神經網路 30
2.7 類神經演算法在食品領域相關應用 32
2.7.1倒傳遞類神經網路 32
2.7.2具動量項之最陡坡降法 33
2.8 田口方法與田口直交表 40
第三章 實驗規劃與設計 43
3.1 研究架構 43
3.2 實驗對象與設備 44
3.2.1實驗對象 44
3.3.2珍珠芭特性與貨架壽命 44
3.2.3主要實驗設備 47
3.2.4實驗材料 50
3.3 實驗流程 50
3.3.1實驗環境條件 52
3.4 倒傳遞類神經架構與網路參數設定 53
3.4.1 BPANN各項參數設定 54
3.5 效益評量準則 56
第四章 實驗結果與討論 57
4.1 不良環境因素下的試驗資料庫建立 57
4.2 資料前處理 59
4.2.1資料正規化 59
4.3 倒傳遞類神經網路模式建立 60
4.3.1倒傳遞類神經網路參數設定 61
4.3.2隱藏層神經元數目測試 62
4.4 結果比較 63
4.4.1訓練函數比較 66
4.4.2輸入形式比較 69
4.5 實驗資料分析結論 73
第五章 結論與未來發展 78
5.1 結論 78
5.2 研究貢獻 78
5.3 研究限制 79
5.4 建議 79
參考文獻 81
附錄
A 農產品產銷履歷紀錄制度示範計畫介紹 87
B 新鮮水果最適儲存條件 89
C 番石榴儲存特性表 93
D 實驗數據表 95


1.劉麗欣1,勵建榮2,「農產品冷練物流發展模式與政府行為概述」,食品科學,Vol 29,No.09,2008,第680-683頁。
2.蘇國賢,李富忠,「中國蔬菜冷鏈物流的現狀、問題與建議」,中國流通經濟2012年01期,2012,第39-42頁。
3.Yu-Chi Wu1,Wei-Hong Hsu1,Pei-Fen Chen2,Zhi-Huang Hu3,Chao-Hsu Chang4, Wen-Ching Yu5, “A MOBILE E-HEALTH-MANAGEMENT SYSTEM”, 2011, Journal of Technology, Vol. 26, No. 2, 2011, pp. 133-141.
4.McMeekin, T., Smale, N., Jenson, I. & Tanner, D. Microbial, “Growth Models And Temperature Monitoring Technologies”. In 2nd international Workshop Cold Chain Management, ed. J. P. Kreyenschmidt, B. Bonn, Germany. 2006, 71-78.
5.Ogasawara, A. & Yamasaki, K. “A temperature-managed traceability system using RFID tags with embedded temperature sensors”. NEC Technical Journal, 1, 2. 2006.p82-86.
6.Reiner Jedermanna, Luis Ruiz-Garciab, Walter Langa, “Spatial temperature profiling by semi-passive RFID loggers for perishable food transportation”, Computers and Electronics in Agriculture ,Volume 65, Issue 2, March 2009, Pages 145–154
7.Jedermann, R., Behrens, C., Westphal, D. & Lang, W. “Applying autonomous sensor systems in logistics - Combining sensor networks, RFIDs and software agents”. Sensors and Actuators A: Physical, 132, 1, 2006.p.370-375.
8.Röhra, K. Lüddeckea, S. Druscha, M.J. Müllera, R.v. Alvenslebenb, “Food quality and safety consumer perception and public health concern”, Food Control, Volume 16, Issue 8, 2005, Pages 649–655.
9.Van Rijswijk, W., Frewer, L.J.; Menozzi, D. & Faioli, G. “Consumer perceptions of traceability: A cross-national comparison of the associated benefits”. Food Quality and Preference, 19(5), 2008, Pages 452-464.
10.Gracia, A. & Zeballors, G. “Attitudes of Retailers and Consumers toward the EU Traceability and Labeling System for Beef”, Journal of Food Distribution Research. 36(3), 2005,Pages 45-56.
11.Su-Ling Wu, “Factors influencing the implementation of food safety control systems in Taiwanese international tourist hotels”, Food Control, Volume 28, Issue 2, December 2012, Pages 265–272.
12.何全光,蘇偉強,任惠,「影響果蔬貨架壽命的若干因素」,廣西農業科學院園藝研究所,Storage Process,第8卷,第6期,2008,第1-4頁。
13.餘曉琴,車曉彥,張麗平,「食品貨架壽命預測研究」,食品研究與開發,Vol.28 No.03,2007,第84-87頁。
14.M. A. Hall, A. R. Smith, “ETHYLENE AND THE RESPONSES OF PLANTS TO STRESS”, BULG. J. PLANT PHYSIOL., 21(2–3),1995, p71–79.
15.Gane R. “Production of ethylene by some ripening fruits”. Nature:134, , 1934,p1008
16.Ruan, R., Almaer, S., and Zhang, J. “Prediction of dough rheological properties using neural networks”. Cereal Chemistry, 72(3), 1995, p308–311.
17.Horimoto, Y., Durance, T., Nakai, S., and Lukow, “O.M. Neural networks vs. principal component regression for prediction of wheat flour loaf volume in baking tests”. J Food Sci., 60(3), 1995, p429–433.
18.Frick J, Precetti C, Mitchell CA, “Predicting lettuce canopy photosynthesis with statistical and neural network models”. Journal of the American Society for Horticultural Science, 1998, 123(6), 1974, p1076-1080.
19.Horimoto, Y., Lee, K., and Nakai, S. “Classification of microbial defects in milk using a dynamic headspace gas chromatograph and computer-aided data processing.”2. Artificial neural networks, partial least squares regression analysis, and principal component regression analysis”. Journal of Agricultural and Food Chemistry, 45, 1997, p743–747.
20.Funahashi K. “On the approximate realization of continuous mappings by neural networks”. Neural Networks. 2: doi: 10.1016/0893-6080(89)90003-8. 1989. p183–192.
21.Hornik K., Stinchcombe M., White H. “Multilayer feedforward networks are universal approximators”. Neural Networks. Volume 2, Issue 5, 1989, Pages 359–366
22.Amador, C., Emond, J. P. & Nunes, M. C. N. “Application of RFID technologies in the temperature mapping of the pineapple supply chain”, Sensing and Instrumentation for Food Quality and Safety, 2009, P.26-33.
23.Ilana Urbano Bron1*; Rafael Vasconcelos Ribeiro2; Flávia Cristina Cavalini3; Angelo Pedro Jacomino3; Marcos José Trevisan3.Temperature-related changes in respiration and Q10 coefficient of guava. Sci. agric. (Piracicaba, Braz.) vol.62 no.5 Piracicaba Sept./Oct. 2005,p458-463
24.Xuan-Tien Doan*, P.T. Kidd*, R. Goodacre+, and B.D. Grieve*, Regression analysis for supply chain logged data: A simulated case study on shelf life prediction, Signal Processing 9th International Conference, Beijing, Oct. 2008, p2717-2720
25.吳美蘭,RFID應用於低溫食品物流之研究,長庚大學資訊管理學研究所,2009。
26.周緯,資通訊技術應用於冷藏食品全流程冷鏈食品安全管理之探討,碩士論文,長庚大學,2010。
27.蕭錦華,利用高頻(13.56Mhz)RFID系統與藍芽模組建立一套記錄物流環境變數之 EPC-RFID 的藥物電子履歷系統,碩士論文,義守大學,2006。
28.Amador, C., Emond, J. P. & Nunes, M. C. Application of RFID Technologies in the Temperature Mapping of the Pineapple Supply Chain. In Food Processing Automation Conference. Providence, Rhode Island (USA). 2008.
29.Gyesley, S. W, Total Systems Approach to Predict Shelf Life of Packaged Foods, ASTM STP 1113-EB. 1991.
30.張彩,包裝豆干貨架壽命的研究,食品科學碩士論文,西南大學,2007。
31.林慧玲1、蔡宜君2、王茗慧2、劉芳芸2、黃琇亭2、謝鴻業3,番石榴之低溫儲運保鮮技術改進,台中,2012。
32.T Masters, Practical Neural Network Recipes in C++, Boston, MA, 1994.
33.F.U Dowla, L.L Rogers, Solving Problems in Environmental Engineering and Geosciences With Artificial Neural Networks, MIT Press, Cambridge, MA, 1995
34.鄧世剛1、劉達明2、謝三良3*,「應用倒傳遞類神經網路於步槍射擊精準度預測」,中正嶺學報,第四十卷,第一期,五月,2011。
35.農委會的農產貿易統計提要分析/99年全年,網址:http://www.coa. gov.tw/view.php?catid=23620,查詢時間:2012.10.01
36.行政院農委會農業統計要覽(100年)16.主要農林漁牧產品生產,網址:http://agrstat.coa.gov.tw/sdweb/public/book/Book.aspx,查詢時間:2012.10.01
37.New Zealand Food Safety Authority Document,網址:http://www.foodsafet- y.govt.nz/elibrary/industry/guide_calculating-contains_background.pdf,查詢時間:2012.10.11
38.The Environmental Food Crisis: A Crisis of Waste,網址:http://news.ufl.edu/2005/08/24/food-retail/,查詢時間:2012.12.10
39.低溫食品物流管理,海洋大學網路發展協會,國立臺灣海洋大學,網址:https://docs.google.com/viewer?a=v&q=cache:JWSzIf1HYpAJ:ind.ntou.edu.tw/~ericting/download/Food%2520Logistics%2520Management/Introduction%2520to%2520Cool%2520Food%2520Logistics.pdf+&hl=zh-TW&pid=bl&srcid=ADGEEShlc1uJaVlomSF7zle9WV5kH-993lRYxZ5bXfMuGWBxf7rh4VAo5nOyAoyDCSrkvOKm3qTbGwmNDqc99RR7Jrj1xkP0c28eef5ZtmqqEfqwlDoqsPJAaqgLElmqmIxL9RsZ54Ii&sig=AHIEtbRV6bDO_RW1WGBuHj3rgIWoosnbdQ,查詢時間:2012.10.15
40.中華民國物流協會低溫食品物流管制作業指引(草案),網址:www.talm.org.tw/uploads/downLoad/20090119-200405.doc,查詢時間:2012.09.15
41.食品工業發展研究所,網址:http://fruit.firdi.org.tw,查詢時間: 2012.12.04
42.物聯網冷鏈物流發展趨勢,網址:http://www.compotechasia.com/a/____/2 012/0314/21084.html,查詢時間: 2012.12.04
43.Taiwan Deciduous Fruit Annual,網址: http://gain.fas.usda.gov/Recent%20 GAIN%20Publications/Fresh%20Deciduous%20Fruit%20Annual_Taipei_Taiwan_10-31-2012.pdf,查詢時間: 2013.01.04
44.Nadine Pesonen, Kaarle Jaakkola, Jerome Lamy, Kaj Nummila and Jouko Mar -jonen (2009). Smart RFID Tags, Development and Implementation of RFID Technology, Cristina Turcu(Ed.) InTech, Available,網址:http://www.intechope n.com/books/development_and_implementation_of_rfid_technology/smart_rfid_tags
45.中國RFID標籤已達5美分和60億年產能力-先進封裝技術聯盟,網址: http://www.hkaptc.org/articles/?_do=view&article_id=20478&catalog_id=3126,查詢時間: 2012.12.05
46.Montalbano Technology,網址:http://www.montalbanotechnology.com,查詢時間: 2012.12.05
47.採後處理基本知識,http://fruit.firdi.org.tw/first/first2.htm,查詢時間: 2012.12.05
48.食品工業發展研究所水果檢疫-番石榴,網址:http://fruit.firdi.org.tw/fruits/se -arch/show.asp?fruit_id=32,查詢時間: 2012.12.04


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