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研究生: Ramiro Rodolfo Ramirez Bermudez
Ramiro Rodolfo Ramirez Bermudez
論文名稱: 物聯網技術對全球咖啡種植和市場的影響
The influence of the Internet of Things technology on global coffee farming and the market
指導教授: 梁書豪
Shu-Hao Liang
欒斌
Pin Luarn
口試委員: 張光第
Chang Guangdi
學位類別: 碩士
Master
系所名稱: 管理學院 - 管理學院MBA
School of Management International (MBA)
論文出版年: 2019
畢業學年度: 107
語文別: 英文
論文頁數: 63
中文關鍵詞: IoTSmart FarmingSigfoxMicrocontrollerLPWANUnaBiz
外文關鍵詞: IoT, Smart Farming, Sigfox, Microcontroller, LPWAN, UnaBiz
相關次數: 點閱:268下載:0
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This document has as main goal the research, application and feasibility of a smart
farming project for the coffee industry. The size of the industry, its relevance to the producer
nations and the opportunity to disrupt this industry are the main reasons to explore this topic.
In this case, the application of IoT can help to gather data for weather prediction and pest
detection. The problems associated with these two parameters are present across different
nations, for this reason, it is important to find a solution with international coverage, in order
to provide the needed data to the farmers across the globe.
The application of IoT methodologies can benefit the farmer in different ways; a more
accurate detection of the insect infestation will reduce the application of pesticides, the
reduction of pesticides will help to increase the quality of the coffee beans and this will have
a positive impact in the price of the coffee, in favor of the farmers.


This document has as main goal the research, application and feasibility of a smart
farming project for the coffee industry. The size of the industry, its relevance to the producer
nations and the opportunity to disrupt this industry are the main reasons to explore this topic.
In this case, the application of IoT can help to gather data for weather prediction and pest
detection. The problems associated with these two parameters are present across different
nations, for this reason, it is important to find a solution with international coverage, in order
to provide the needed data to the farmers across the globe.
The application of IoT methodologies can benefit the farmer in different ways; a more
accurate detection of the insect infestation will reduce the application of pesticides, the
reduction of pesticides will help to increase the quality of the coffee beans and this will have
a positive impact in the price of the coffee, in favor of the farmers.

CHAPTER 1 INTRODUCTION ......................................................................................................... 1 1.1 Coffee Industry ............................................................................................. 2 1.1.1 Coffee Arabica and Robusta ................................................................... 2 1.1.2 Size of the industry ................................................................................ 7 CHAPTER 2 AGRICULTURAL BACKGROUND .......................................................................... 9 2.1 Climate effects .............................................................................................. 9 2.2 Pests ............................................................................................................ 11 2.2.1 Coffee Borer Beetle (Hypothenemus Hampei)...................................... 12 2.3 Current Solutions ........................................................................................ 14 2.4 Ways to Improve ......................................................................................... 14 2.4.1 CBB Detection System ........................................................................ 15 2.4.2 Beetle Trapping System ....................................................................... 15 2.4.3 Beetle Trapping System Bait ................................................................ 16 2.4.4 CBB detection ..................................................................................... 16 CHAPTER 3 PROPOSED SOLUTION ........................................................................................... 17 3.1 Sensor Selection .......................................................................................... 17 3.1.1 Humidity and Temperature Sensor (RH+T) .......................................... 17 3.1.2 Ultrasound Sensor (SR-04) .................................................................. 18 3.2 Communication protocol ............................................................................. 19 3.2.1 SigFox solution ................................................................................... 21 3.3 Prototype description ................................................................................... 24 3.3.1 Fast Prototyping .................................................................................. 24 3.3.2 Optimized version ............................................................................... 26 3.3.3 Mass-production version ...................................................................... 27 3.4 Architecture of the system ........................................................................... 28 CHAPTER 4 MARKET ANALYSIS ................................................................................................ 29 4.1 Product ........................................................................................................ 29 4.2 Market research ........................................................................................... 30 4.2.1 Total size of industry ........................................................................... 30 4.2.2 Trends in the industry .......................................................................... 30 4.2.3 Target share of the market. ................................................................... 30 4.2.4 Barriers to entry ................................................................................... 31 4.3 Competitive Analysis Worksheet ................................................................. 32 4.4 SWOT analysis ........................................................................................... 34 4.5 Business Model Canvas ............................................................................... 35 CHAPTER 5 IOT SOLUTION EVALUATION .............................................................................. 37 5.1 Results ........................................................................................................ 37 5.2 Product Price Range .................................................................................... 40 5.3 Financial Forecasting .................................................................................. 41 CHAPTER 6 CONCLUSIONS ......................................................................................................... 44 6.1 Future development ..................................................................................... 45

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