隨著知識經濟時代的來臨，產業競爭激烈，農業的發展已由勞力及土地為主的傳統產業正式進入高知識密集競爭產業。隨著生物科技技術日新月異，世界各國無不投入龐大研發能量，提升農產品的質與量。
2002年台灣加入世界貿易組織(WTO)之後，由於必須履行國際規範，開放農產品市場、調降關稅，使傳統農業產業面臨許多困境。在全球化、自由化的競爭市場下，農業施政因應以全球化布局規劃為重點，對外加強具競爭力農產品出口，對內以創新研發為發展動力，提升產業競爭力。2004年農委會為加強推動台灣農產品外銷，突顯我國優質農產品特色，建立國際知名之「台灣」農產品品牌，更選定蝴蝶蘭為四項台灣優質農產品之ㄧ，作為推動我農產品外銷之旗艦產品。
農產品市場全面開放以來，為營造安全安心的生產消費環境，農產品產銷履歷的建構，已成為當前施政重大課題，提升台灣農產品競爭力的重要策略之一。經由農產品產銷履歷制度之公開透明的網路資訊，可讓消費者了解特定農民所生產的農產品。
在農業試驗改良單位的輔導下，農產品產銷履歷制度之地導入，將有助於農產品標準作業流程，協助農民進行合理化生產，提昇生產技術與經營管理能力，生產出規格化及安全優質的農產品。
標準作業流程的制定與實現需仰賴具良好環境控制系統之栽培設施，環境控制系統由感測系統、環控設備與控制策略等三要項共同組成。以知識管理的觀點，控制策略是生產知識的累積轉化，知識是經由資訊的分析詮釋而來，而資訊則自經過資料的收集篩選彙整，資料可說是知識產生的基本元素。就溫室環境控制而言，最原始的資料來自感測系統監測及收集所得的環境參數，藉由感測系統提供的作物生理及環境參數可擬定控制策略，並交由環控設備執行。
無線感測網路主要以自然環境物與物之間的訊息聯繫為基礎，擴及至多元化的周遭環境，是數位與實體環境互動溝通的最佳化媒介。以佈建感測元件為節點，建構完整的感測網路，廣泛感測擷取實體環境包含時間與空間的完整變化訊息，可作為日後因應分析情勢演變的參考依據。
本研究以系統實作做技術面測試驗證，並藉由SWOT作策略面的分析，歸納證實無線感測網路知識農業之應用極具可行性。最後，本研究提出一無線感測網路在溫室環境控制、標準化生產作業以及農產品產銷履歷推行上的應用支援架構，提供國內農政單位及農民做為改善我國農產品質量，提升國際競爭力之參考。

With the information explosion brought upon us by advances in communication and computation technologies, all industries have entered a hyper-competition era. Agriculture not only can not be excluded from this trend, its advancement has further been aided by breakthroughs in the field of bio-chemical research. Land and labor have been replaced by bits and bytes as the foundation of modern agriculture.
Since joining WTO in 2002, Taiwan has been driving to adhere to the global regulations which call for reducing import duties for agricultural products. Local agricultural operations, traditionally small in scale and labor intensive due to slow adoption to modern technologies, are faced with challenges like none they have seen before. Thus government agencies and research institutes on all levels have focused on supporting the agriculture industries. On one hand, the best existing products are being very aggressively promoted to the global markets. On the other hand, related research has yielded new products or improvements. In 2004, Phalaenopsis was elected 1 of the 4 flagship products for massive "made in Taiwan" branding efforts.
Modern consumers are very well informed. They are used to collect all sorts of information before buying, using, or consuming products. Agricultural products are no exceptions. Safety and sanitary concerns dominate the collective thoughts of the society. Clear and thorough production and sales traceability data is no longer just nice-to-have options but requirements. In the very near future, consumers will be able to obtain production and sales traceability information pertaining to an individual item all the way from when it was grown to when it is consumed or used. In addition to benefits to the consumers, production and sales traceability framework further facilitates the establishment of SOP. No longer lacking behind on modernization and adoptions to technologies, agricultural operations will be very well managed and highly optimized.
A well defined and executed agricultural SOP, in turn, calls for accurate environmental monitoring and controlling frameworks, which are supported by the following 3 pillars: sensing systems, controlling units, and environment strategies. From knowledge management's perspective, environment strategies are the accumulation of production knowledge. Knowledge comes from analysis of sufficient information. And information is the result of organizing data. So, data is the root of knowledge. In the context of greenhouse operations, data comes from the environmental parameters picked by various sensors. Thus, sensing systems are the most critical components of a good agricultural SOP.
Wireless Sensor Networks (WSN) enable information exchanges between physical world and the digital realm formed by computers. WSN technology fits in perfectly for the aforementioned sensing systems for agricultural SOP because it can seamlessly collect and assimilate sensory data without the constraints of cabling.
In this research, there are discussions on various technical elements of a WSN agricultural solution, and a SWOT analysis for the feasibility of WSN in agricultural applications is presented. The result shows that WSN will be what's driving the new wave of modernization of agriculture industries. Last but not the least, there is a case study of an actual deployment of WSN in Phalaenopsis greenhouses. This serves as an example of how WSN can be utilized to achieve the goals set forth by the government agencies and research institutes as describe at the beginning.

中文部份
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2. 王才義 (1994)，「設施環境管理技術」，亞熱帶地區花卉設施栽培技術，台灣省農業試驗所，p43。
3. 張耀乾、吳明哲(1994)，「國內花卉設施之發展與重點」，亞熱帶地區花卉設施栽培技術，台灣省農業試驗所，p3~5。
4. 勤業管理顧問公司(2000)，劉京偉 譯，「知識管理的第一本書」，勤業管理顧問公司，p24~28。
5. 林瑞松 (2001)，「設施栽培環境與作物生理」，「農漁牧產業自動化叢書第十一輯-設施栽培自動化」，國立台灣大學生物產業機電工程學系，p41~50。
6. 張祖亮 (2001)，「設施栽培環境監測與控制」，農漁牧產業自動化叢書第十一輯-設施栽培自動化，國立台灣大學生物產業機電工程學系，p1~20。
7. 吳珮瑛(2002)，「知識農業」假架構下農業發展條例修正方向，農政與農情第119期，行政院農委會。
8. 林東清(2004)，「知識管理」，智勝文化事業有限公司，p21~29。
9. 侯鳳舞(2004)，「優質外銷蝴蝶蘭生產體系之建構」，農業試驗所技術服務第60期，p12~15。
10. 方煒（2005），「田間伺服器與無線感測器網路的國內外發展」，作物生產及運銷專家系統整合與促進研討會。
11. 胡忠一(2006)，「農產品產銷履歷推動現況」，農業貿易人才訓練班－出口實務班。
12. 陳祈睿(2006)，「農產品產銷履歷制度」，行政院農委會。
13. 陳淑慧(2006)，「安全『食』尚 農產品產銷履歷資訊管理與應用」，農業生技產業季刊／ 2006 年 第八期，p34~44。
14. 林能棋 (2003)，「無線網路技術簡介」，元智大學最佳化實驗室。
15. 胡鐵鑑(2006)，「無線感測器網路於降雨深度及地下水位監測」，明道管理學院，管理研究所碩士論文。
16. 陳加忠(2006)，「二十一世紀溫室環控系統的新進技術」，中興大學生物系統工程研究室。
17. 萬一怒 (2006)，「農業無線感測器網路建構技術」，國立中興大學生物產業機電工程學系。
18. 陳加忠(2007)，「國際蝴蝶蘭產業現況」，中興大學生物系統工程研究室。
19. 鍾榮峰(2007)，「傳真於千里之外」，零組件雜誌第188期2007年6月號

英文部分
1. Beckman, T.,”Implementing the Knowledge Organization in Government,Paper and Presentation,10th National Conference on Federal Quality,1997.
2. Bond, S. R. and J. G. Cummins, 2000. "The Stock Market and Investment in the New Economy: Some Tangible Facts and Intangible Fictions," Brookings Papers on Economic Activity, 1:61-124. EBSCOhost Full Display.
3. Graham, P., 1999. "Critical Systems Theory," Communication Research, 26:482-507. EBSCOhost Full Display.
4. IIE Solution, 2000. "Understanding the Knowledge Economy," in Science, Technology, and Innovation Policy: Opportunities and Challenges for the Knowledge Economy. Edited by Pedro Conceicao, D. V. Gibson et.al. EBSCOhost Full Display.
5. Leadbeater, C., 1998. "Who Will Own the Knowledge Economy？ " Political Quarterly, 69:375-385.
6. Lundvall, B. A. (1996). The social dimension of the learning economy. Department of Business Studies. Aalborg University, Denmark.
7. OECD, 1996. The Knowledge-Based Economy. Paris: OECD. Rolf Blumentritt and Ron Johnston, 1999. "Towards a Strategy for Knowledge Management," Technology Analysis and Strategic Management, 11:287-300.
8. Petrash, G.,”Dow’s Journry to a Knowledge Value Management Culture,”Eurpean Management Journal (14), 1996, pp.365~373.
9. Rawolle, S., 2000. "Work and the Knowledge Economy," Social Alternative, 19:14-18. EBSCOhost Full Display.
10. Triplett, J. E., 1999. "Economic Statistics, the New Economy, and the Productivity Slowdown," Business Economic, 34:13-17. EBSCOhost Full Display.
11. Weihrich, Heinz “The SWOT Matrix-A Tool for Situational Analysis,” Long Range Planning, Vol. 15, No. 2, 1982, p.60.
12. Wiig,K.M.,”Knowledge Management：Where did it come from and Where will it go ? ”, Exper Systems with Applications, Pergamon Press/ Elsevier(14),Fall 1997.

參考網站
1. 行政院農委會網站，http://www.coa.gov.tw
2. 台灣農產品安全追溯資訊網，http://taft.coa.gov.tw
3. 農業試驗所全球資訊網，http://www.tari.gov.tw/taric/
4. 資策會MIC資訊市場情報中心，http://mic.iii.org.tw/index.asp
5. IEEE 802 LAN/MAN Standards Committee, URL：http://ieee802.org/index.html
6. Zigbee Alliance, URL：http://www.zigbee.org/en/index.asp
7. TinyOS Community Forum, URL：http://www.tinyos.net/
8. Moteiv Corporation, URL：http://www.moteiv.com
9. Crossbow Technology Inc., URL：http://www.xbow.com/