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

戴芮寧(Delainie Broaster)

指導教授 ： 林月雲

國立政治大學/商學院/國際經營管理英語碩士學位學程(IMBA)/碩士(2021年)

https://doi.org/10.6814/NCCU202100598

摘要

本論文以英文書寫，作者無提供中文摘要。

關鍵字

行銷 ； 溝通 ； 競爭力 ； 自動化 ； 合作

並列摘要

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.

並列關鍵字

Marketing ； Communication ； Competitiveness ； Automation ； Collaboration

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