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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 021/2/24

Andriesse, J.P. (1998). Nature and Management of Tropical Peat Soils. FAO of the UN, Rome. http://www.fao.org/3/x5872e/x5872e08.htm. Retrieved 2021/3/01

Ayaz, 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 2021/03/05

Balducci, 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 2021/4/4

Baumüller, 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 2021/03/07

Besai, 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 2021/3/19

Bhattacharya, 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 2021/03/04

Biel, 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 2021/3/04

Breaking Belize News (2020). Government holds meeting with agricultural sector to chart course forward for Belize. https://www.breakingbelizenews.com. Retrieved 2021/2/24

Chalimov, 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 2021/3/21

Chieochan, 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 2021/4/4

Collado, 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 2021/3/02

De 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 2021/2/28

De-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 2021/4/4

Doshi, 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 2021/3/02

Eckstein, 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 2021/03/07

Felipe, 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 2021/03/05

Ferrandez-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 2021/3/21

Food 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 2021/3/20

Gebbers, 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 2021/3/01

Gonzalez, 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 2021/03/06

Grady, 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 2021/2/27

Gupta, 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 2021/3/21

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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, Carolen_US
dc.contributor.author (Authors) 戴芮寧zh_TW
dc.contributor.author (Authors) Delainie Broasteren_US
dc.creator (作者) 戴芮寧zh_TW
dc.creator (作者) Broaster, Delainieen_US
dc.date (日期) 2021en_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) G0108933049en_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) 108933049zh_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 CONTENTS
1. INTRODUCTION 1
1.1. Statement of the Problem 2
1.2. Purpose of the Study 2
1.3. Significance of the Study 3
1.3.1. Definitions of terms. 4
1.4. Research Questions (RQ) 5
2. LITERATURE REVIEW 6
2.1. Belize Agriculture 6
2.2. Farm Organization/Management 9
2.3. Driving Forces 10
2.4. Industry Developments 12
2.5. Disruptive Agri-Tech 13
2.6. Smart Farm Applications 14
2.7. Smart Farm Cases 15
2.8. Smart Farm Models 17
2.9. Smart Farm Success Factors 18
2.10. Opportunity Trends 19
2.11. Purpose Statement 20
3. METHODOLOGY 21
3.1. Strategy 21
3.2. Approach 22
3.3. Sample 24
3.4. Participants 25
3.5. Process 26
3.6. Data Analysis 26
3.7. Ethical Considerations 27
3.8. Research Limitations 27
4. RESULTS AND DISCUSSION 28
4.1. Results 28
4.2. Discussion 32
5. CONCLUSION 39
5.1. Implications of the Study 40
5.2. Implementation Model 41
5.3. Implementation Framework 42
5.4. Recommendations for Future Studies 42
6. REFERENCES 43
7. APPENDIX 52
7.1. Appendix A: Informed Consent Form 52
7.2. 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/#G0108933049en_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) Marketingen_US
dc.subject (關鍵詞) Communicationen_US
dc.subject (關鍵詞) Competitivenessen_US
dc.subject (關鍵詞) Automationen_US
dc.subject (關鍵詞) Collaborationen_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 Belizeen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) Amandala Editorial (2021). The priority of food. https://amandala.com.bz/news. Retrieved 021/2/24

Andriesse, J.P. (1998). Nature and Management of Tropical Peat Soils. FAO of the UN, Rome. http://www.fao.org/3/x5872e/x5872e08.htm. Retrieved 2021/3/01

Ayaz, 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 2021/03/05

Balducci, 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 2021/4/4

Baumüller, 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 2021/03/07

Besai, 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 2021/3/19

Bhattacharya, 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 2021/03/04

Biel, 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 2021/3/04

Breaking Belize News (2020). Government holds meeting with agricultural sector to chart course forward for Belize. https://www.breakingbelizenews.com. Retrieved 2021/2/24

Chalimov, 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 2021/3/21

Chieochan, 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 2021/4/4

Collado, 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 2021/3/02

De 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 2021/2/28

De-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 2021/4/4

Doshi, 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 2021/3/02

Eckstein, 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 2021/03/07

Felipe, 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 2021/03/05

Ferrandez-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 2021/3/21

Food 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 2021/3/20

Gebbers, 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 2021/3/01

Gonzalez, 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 2021/03/06

Grady, 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 2021/2/27

Gupta, 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 2021/3/21

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dc.identifier.doi (DOI) 10.6814/NCCU202100598en_US