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題名 貝里斯以智能農場實現永續農業發展
Implementing Smart Farm Solutions for Sustainable Crop Agricultural Development in Belize作者 戴芮寧
Broaster, Delainie貢獻者 林月雲
Lin, Carol
戴芮寧
Delainie Broaster關鍵詞 行銷
溝通
競爭力
自動化
合作
Marketing
Communication
Competitiveness
Automation
Collaboration日期 2021 上傳時間 1-Jul-2021 19:16:41 (UTC+8) 摘要 This thesis investigated smart farm solutions using ICT by reviewing various literature, conducting interviews and discussing results. The transformation of the industry from traditional to smart is impeccable but costly. Among other factors, the industry suffers from shortage of skilled labor. Yet, this industry is valuable to societies and economies contributing to foreign exchange, employment and most importantly- food. A major threat to the sector is climate. This research aimed to find and promote solutions that will solve industry problems.The researcher took a qualitative approach. A sample of six diverse and key persons was interviewed for the data collection. The method consisted of semi-structured interviews. Moreover, ethical approval was received and upheld for the purpose of research.Through content analysis, the results were discussed after identifying common key themes in the responses from the interview participants. Without information and communication technology, the agriculture industry cannot succeed as there is a strong correlation between these two variables. The researcher was optimistic that this study would help the Government of Belize in charting their course forward in agriculture and the findings observed allowed for her hypothesis to be accepted as true. Implementing smart farm in Belize will require stakeholders to maintain control over the process, learn the solutions and adapt the technology to solve specific problems. Figures were used to illustrate significant findings and to present recommendations for the implementation of smart farms. 參考文獻 Amandala Editorial (2021). The priority of food. https://amandala.com.bz/news. Retrieved 021/2/24Andriesse, J.P. (1998). Nature and Management of Tropical Peat Soils. FAO of the UN, Rome. http://www.fao.org/3/x5872e/x5872e08.htm. Retrieved 2021/3/01Ayaz, M., Uddin, A., Sharif, Z., Mansour, A. and Aggoune, E. (2019). Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk. University of Tabuk, Saudi Arabia. file:///C:/Users/user/Downloads/Internet-of-Things_IoT- Based_Smart_Agriculture_Tow.pdf. Retrieved 2021/03/05Balducci, F., Impedovo, D. and Pirlo, G. (2018). Machine Learning Applications on Agricultural Datasets for Smart Farm Enhancement. University of Bari, Italy. https://www.mdpi.com/2075-1702/6/3/38. Retrieved 2021/4/4Baumüller, H. (2017). Towards Smart Farming? Mobile Technology Trends and their Potential for Developing Country Agriculture. Center for Development Research (ZEF), University of Bonn. file:///C:/Users/user/Downloads/Baumller_mobile_technology_trends.pdf. Retrieved 2021/03/07Besai, D., Alvarez, T. and Pariag, S. (2019). Building a productive and resilient regional agriculture sector. Caribbean Agricultural Research and Development Institute (CARDI). http://www.cardi.org/wp-content/uploads/downloads/2018/05/CARDI-Strategic-Plan-2018-to-2022-Final.pdf. Retrieved 2021/3/19Bhattacharya, A., Calland, R., Averchenkova, A., Gonzalez, L., Martinez-Diaz, L. and Van Rooij, J. (2020). Delivering On The $100 Billion Climate Finance Commitment And Transforming Climate Finance: Independent Expert Group On Climate Change. https://www.un.org/sites/un2.un.org/files/100_billion_climate_finance_report.pdf. Retrieved 2021/03/04Biel, A., Vats, A. and De Clercq, M. (2018). Agriculture 4.0: The Future of Farming Technology. Oliver Wyman. World Government Summit. https://www.mmc.com/content/dam/mmc-web/insights/publications/2018/november/agriculture-4-0/. Retrieved 2021/3/04Breaking Belize News (2020). Government holds meeting with agricultural sector to chart course forward for Belize. https://www.breakingbelizenews.com. Retrieved 2021/2/24Chalimov, A. (2020). IoT in Agriculture: 8 Technology Use Cases For Smart Farming (and Challenges to Consider). Eastern Peek, Israel. https://easternpeak.com/blog/iot-in-agriculture-technology-use-cases-for-smart-farming-and-challenges-to-consider/. Retrieved 2021/3/21Chieochan, O, Saokaew, A. and Boonchieng, E. (2017). IOT for Smart Farm: A case study of the Lingzhi Mushroom Farm at Maejo University. INSPEC Accession Number: 17153412. DOI: 10.1109/JCSSE.2017.8025904. IEEE https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025904. Retrieved 2021/4/4Collado, E., Fossatti, A., and Saez, Y. (2018). Smart farming: A potential solution towards a modern and sustainable agriculture in Panama. University of Technology, Panama. https://www.aimspress.com/article/id/3545. Retrieved 2021/3/02De Laiglesia, J. (2006). Institutional Bottlenecks For Agricultural Development: A Stock-Taking Exercise Based on Evidence from Sub-Saharan Africa. OECD Development Centre. https://www.oecd.org/dev/36309029.pdf. Retrieved 2021/2/28De-Pablos-Heredero, C., Montes-Botella, L. and García-Martínez, A. (2018). Sustainability in Smart Farms: Its Impact on Performance. University of Cordoba, Spain. 10,1713; doi:10.3390/su10061713. www.mdpi.com/journal/sustainability. Retrieved 2021/4/4Doshi, J., Patel, T. and Bharty, S. (2019). Smart Farming using IoT, a solution for optimally monitoring farming conditions. Pandit Deendayal Petroleum University, India. https://www.sciencedirect.com/science/article/pii/S1877050919317168. Retrieved 2021/3/02Eckstein, J., Ballantyne, A. and Phillips, P. (2019). Farming Reimagined: A case study of autonomous farm equipment and creating innovation opportunity space for broadacre smart farming. University of Saskatchewan, Canada. https://www.sciencedirect.com/science/article/pii/S1573521418302458. Retrieved 2021/03/07Felipe, J., Bayudan-Dacuycuy, C. and Lanzafame, M. (2016). The declining share of agricultural employment in China, How fast? https://www.sciencedirect.com/science/article/pii/S0954349X16000035. Retrieved 2021/03/05Ferrandez-Pastor, F., Garcia-Chamizo, J., Nieto-Hildago, M. and Mora-Martinez, J. (2018). University of Alicante, Spain. file:///C:/Users/user/Downloads/sensors-18-01731.pdf. Retrieved 2021/3/21Food and Agriculture Organization of the United Nations (FAO). (2017). The future of food and agriculture: Trends and challenges. FAO, Rome. http://www.fao.org/3/i6583e/i6583e.pdf. Retrieved 2021/3/20Gebbers, R. and Adamchuk, V. (2010). Precision Agriculture and Food Security. American Association for the Advancement of Science. https://science.sciencemag.org/content/327/5967/828+. Retrieved 2021/3/01Gonzalez, P., Fernandez, R., Sepulveda, D., Navas, E., Emmi, L. and Armada, M. (2020). Field Robots for Intelligent Farms-Inhering Features from Industry. Centre for Automation and Robotics, Spain. file:///C:/Users/user/Downloads/agronomy-10-01638.pdf. Retrieved 2021/03/06Grady, M.J. and Hare, G.M. (2017). Modelling the Smart Farm. University of Dublin, Ireland. file:///C:/Users/user/Downloads/IPA_Quantifieddairyfarm_pre-print.pdf. Retrieved 2021/2/27Gupta, M., Abdelsalam, M., Khorsandroo, S. and Mittal, S. (2020). Security and Privacy in Smart Farming: Challenges and Opportunities. IEEE Access. file:///C:/Users/user/Downloads/ACCESS2975142.pdf. Retrieved 2021/3/21Hammoudi, A., Hoffman, R. and Surry, Y. (2009). Food safety standards and agri-food supply chains: An introductory overview. https://www.researchgate.net/publication/227464651. Retrieved 2021/3/03Jakku, E., Taylor, B., Fleming, A. and Thorbun, P. (2016). Big Data, Trust and Collaboration: Exploring the socio-technical enabling conditions for big data in the grains industry. The Commonwealth Scientific and Industrial Research Organisation. file:///C:/Users/user/Downloads/Jakkuetal2016_BigDataTrustandCollaboration_Research Report%20(1).pdf. Retrieved 2021/2/26Krishnan, A., Banga, K. and Mendez-Parra, M. (2020). Disruptive technologies in agricultural value chains: Insights from East Africa. Working Paper 576. CC BY-NC-ND 4.0. Retrieved 2021/3/04Kwa, A. (2001). Agriculture in Developing Countries: Which Way Forward? Trade-Related Agenda, Development and Equity. https://www.iatp.org/sites. Retrieved 2021/2/24Lawrimore, B. (2015). They 5 Key Success Factors Of Business- No. 3: Operations. https://www.linkedin.com/pulse/5-key-success-factors-business-3-operations-buck-lawrimore/. Retrieved 2021/3/13Leahy, S. (2019). How to feed the world without destroying the planet. National Geographic. https://www.nationalgeographic.com/environment/article. Retrieved 2021/3/01Maliwal, P. and Mundra, S. (2011). Agronomy at a glance. Agrotech Publishing Academy. 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University of Florida. https://www.researchgate.net/publication/312062029_Technology_trends_in_ICT_-_Towards_data-driven_farmer-centered. Retrieved 2021/2/18Yoon, C., Lim, D. and Park, C. (2020). Factors affecting adoption of smart farms: The case of Korea. Mokpo National University, South Korea. http://www.elsevier.com/locate/comphumbeh. Retrieved 2021/4/4Zambon, L., Cecchini, M., Egidi, G., Saporito, M. and Colantoni, A. (2019). Revolution 4.0: Industry vs. Agriculture in a Future Development for SMEs. Tuscia University, Italy. https://doi.org/10.3390/pr7010036. Retrieved 2021/03/06Zyl, O. (2011). Four key success factors to growing Agriculture opportunities in Africa: Grow and prosper. Deloitte Africa Agribusiness Unit (DAAU). http://www.afrilogic.co.za/downloads/pdf/Agribusiness. Retrieved 2021/03/04 描述 碩士
國立政治大學
國際經營管理英語碩士學位學程(IMBA)
108933049資料來源 http://thesis.lib.nccu.edu.tw/record/#G0108933049 資料類型 thesis dc.contributor.advisor 林月雲 zh_TW dc.contributor.advisor Lin, Carol en_US dc.contributor.author (Authors) 戴芮寧 zh_TW dc.contributor.author (Authors) Delainie Broaster en_US dc.creator (作者) 戴芮寧 zh_TW dc.creator (作者) Broaster, Delainie en_US dc.date (日期) 2021 en_US dc.date.accessioned 1-Jul-2021 19:16:41 (UTC+8) - dc.date.available 1-Jul-2021 19:16:41 (UTC+8) - dc.date.issued (上傳時間) 1-Jul-2021 19:16:41 (UTC+8) - dc.identifier (Other Identifiers) G0108933049 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/135967 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 國際經營管理英語碩士學位學程(IMBA) zh_TW dc.description (描述) 108933049 zh_TW dc.description.abstract (摘要) This thesis investigated smart farm solutions using ICT by reviewing various literature, conducting interviews and discussing results. The transformation of the industry from traditional to smart is impeccable but costly. Among other factors, the industry suffers from shortage of skilled labor. Yet, this industry is valuable to societies and economies contributing to foreign exchange, employment and most importantly- food. A major threat to the sector is climate. This research aimed to find and promote solutions that will solve industry problems.The researcher took a qualitative approach. A sample of six diverse and key persons was interviewed for the data collection. The method consisted of semi-structured interviews. Moreover, ethical approval was received and upheld for the purpose of research.Through content analysis, the results were discussed after identifying common key themes in the responses from the interview participants. Without information and communication technology, the agriculture industry cannot succeed as there is a strong correlation between these two variables. The researcher was optimistic that this study would help the Government of Belize in charting their course forward in agriculture and the findings observed allowed for her hypothesis to be accepted as true. Implementing smart farm in Belize will require stakeholders to maintain control over the process, learn the solutions and adapt the technology to solve specific problems. Figures were used to illustrate significant findings and to present recommendations for the implementation of smart farms. en_US dc.description.tableofcontents TABLE OF CONTENTS1. INTRODUCTION 11.1. Statement of the Problem 21.2. Purpose of the Study 21.3. Significance of the Study 31.3.1. Definitions of terms. 41.4. Research Questions (RQ) 52. LITERATURE REVIEW 62.1. Belize Agriculture 62.2. Farm Organization/Management 92.3. Driving Forces 102.4. Industry Developments 122.5. Disruptive Agri-Tech 132.6. Smart Farm Applications 142.7. Smart Farm Cases 152.8. Smart Farm Models 172.9. Smart Farm Success Factors 182.10. Opportunity Trends 192.11. Purpose Statement 203. METHODOLOGY 213.1. Strategy 213.2. Approach 223.3. Sample 243.4. Participants 253.5. Process 263.6. Data Analysis 263.7. Ethical Considerations 273.8. Research Limitations 274. RESULTS AND DISCUSSION 284.1. Results 284.2. Discussion 325. CONCLUSION 395.1. Implications of the Study 405.2. Implementation Model 415.3. Implementation Framework 425.4. Recommendations for Future Studies 426. REFERENCES 437. APPENDIX 527.1. Appendix A: Informed Consent Form 527.2. Appendix B: List of Abbreviations 53 zh_TW dc.format.extent 1365997 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0108933049 en_US dc.subject (關鍵詞) 行銷 zh_TW dc.subject (關鍵詞) 溝通 zh_TW dc.subject (關鍵詞) 競爭力 zh_TW dc.subject (關鍵詞) 自動化 zh_TW dc.subject (關鍵詞) 合作 zh_TW dc.subject (關鍵詞) Marketing en_US dc.subject (關鍵詞) Communication en_US dc.subject (關鍵詞) Competitiveness en_US dc.subject (關鍵詞) Automation en_US dc.subject (關鍵詞) Collaboration en_US dc.title (題名) 貝里斯以智能農場實現永續農業發展 zh_TW dc.title (題名) Implementing Smart Farm Solutions for Sustainable Crop Agricultural Development in Belize en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) Amandala Editorial (2021). The priority of food. https://amandala.com.bz/news. Retrieved 021/2/24Andriesse, J.P. (1998). Nature and Management of Tropical Peat Soils. FAO of the UN, Rome. http://www.fao.org/3/x5872e/x5872e08.htm. Retrieved 2021/3/01Ayaz, M., Uddin, A., Sharif, Z., Mansour, A. and Aggoune, E. (2019). Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk. University of Tabuk, Saudi Arabia. file:///C:/Users/user/Downloads/Internet-of-Things_IoT- Based_Smart_Agriculture_Tow.pdf. Retrieved 2021/03/05Balducci, F., Impedovo, D. and Pirlo, G. (2018). Machine Learning Applications on Agricultural Datasets for Smart Farm Enhancement. University of Bari, Italy. https://www.mdpi.com/2075-1702/6/3/38. Retrieved 2021/4/4Baumüller, H. (2017). Towards Smart Farming? Mobile Technology Trends and their Potential for Developing Country Agriculture. Center for Development Research (ZEF), University of Bonn. file:///C:/Users/user/Downloads/Baumller_mobile_technology_trends.pdf. Retrieved 2021/03/07Besai, D., Alvarez, T. and Pariag, S. (2019). Building a productive and resilient regional agriculture sector. Caribbean Agricultural Research and Development Institute (CARDI). http://www.cardi.org/wp-content/uploads/downloads/2018/05/CARDI-Strategic-Plan-2018-to-2022-Final.pdf. Retrieved 2021/3/19Bhattacharya, A., Calland, R., Averchenkova, A., Gonzalez, L., Martinez-Diaz, L. and Van Rooij, J. (2020). Delivering On The $100 Billion Climate Finance Commitment And Transforming Climate Finance: Independent Expert Group On Climate Change. https://www.un.org/sites/un2.un.org/files/100_billion_climate_finance_report.pdf. Retrieved 2021/03/04Biel, A., Vats, A. and De Clercq, M. (2018). Agriculture 4.0: The Future of Farming Technology. Oliver Wyman. World Government Summit. https://www.mmc.com/content/dam/mmc-web/insights/publications/2018/november/agriculture-4-0/. Retrieved 2021/3/04Breaking Belize News (2020). Government holds meeting with agricultural sector to chart course forward for Belize. https://www.breakingbelizenews.com. Retrieved 2021/2/24Chalimov, A. (2020). IoT in Agriculture: 8 Technology Use Cases For Smart Farming (and Challenges to Consider). Eastern Peek, Israel. https://easternpeak.com/blog/iot-in-agriculture-technology-use-cases-for-smart-farming-and-challenges-to-consider/. Retrieved 2021/3/21Chieochan, O, Saokaew, A. and Boonchieng, E. (2017). IOT for Smart Farm: A case study of the Lingzhi Mushroom Farm at Maejo University. INSPEC Accession Number: 17153412. DOI: 10.1109/JCSSE.2017.8025904. IEEE https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025904. Retrieved 2021/4/4Collado, E., Fossatti, A., and Saez, Y. (2018). Smart farming: A potential solution towards a modern and sustainable agriculture in Panama. University of Technology, Panama. https://www.aimspress.com/article/id/3545. Retrieved 2021/3/02De Laiglesia, J. (2006). Institutional Bottlenecks For Agricultural Development: A Stock-Taking Exercise Based on Evidence from Sub-Saharan Africa. OECD Development Centre. https://www.oecd.org/dev/36309029.pdf. Retrieved 2021/2/28De-Pablos-Heredero, C., Montes-Botella, L. and García-Martínez, A. (2018). Sustainability in Smart Farms: Its Impact on Performance. University of Cordoba, Spain. 10,1713; doi:10.3390/su10061713. www.mdpi.com/journal/sustainability. Retrieved 2021/4/4Doshi, J., Patel, T. and Bharty, S. (2019). Smart Farming using IoT, a solution for optimally monitoring farming conditions. Pandit Deendayal Petroleum University, India. https://www.sciencedirect.com/science/article/pii/S1877050919317168. Retrieved 2021/3/02Eckstein, J., Ballantyne, A. and Phillips, P. (2019). Farming Reimagined: A case study of autonomous farm equipment and creating innovation opportunity space for broadacre smart farming. University of Saskatchewan, Canada. https://www.sciencedirect.com/science/article/pii/S1573521418302458. Retrieved 2021/03/07Felipe, J., Bayudan-Dacuycuy, C. and Lanzafame, M. (2016). The declining share of agricultural employment in China, How fast? https://www.sciencedirect.com/science/article/pii/S0954349X16000035. Retrieved 2021/03/05Ferrandez-Pastor, F., Garcia-Chamizo, J., Nieto-Hildago, M. and Mora-Martinez, J. (2018). University of Alicante, Spain. file:///C:/Users/user/Downloads/sensors-18-01731.pdf. Retrieved 2021/3/21Food and Agriculture Organization of the United Nations (FAO). (2017). The future of food and agriculture: Trends and challenges. FAO, Rome. http://www.fao.org/3/i6583e/i6583e.pdf. Retrieved 2021/3/20Gebbers, R. and Adamchuk, V. (2010). Precision Agriculture and Food Security. American Association for the Advancement of Science. https://science.sciencemag.org/content/327/5967/828+. Retrieved 2021/3/01Gonzalez, P., Fernandez, R., Sepulveda, D., Navas, E., Emmi, L. and Armada, M. (2020). Field Robots for Intelligent Farms-Inhering Features from Industry. 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