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.

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

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

Hammoudi, 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 2021/3/03

Jakku, 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 2021/2/26

Krishnan, 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 2021/3/04

Kwa, A. (2001). Agriculture in Developing Countries: Which Way Forward? Trade-Related Agenda, Development and Equity. https://www.iatp.org/sites. Retrieved 2021/2/24

Lawrimore, 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 2021/3/13

Leahy, S. (2019). How to feed the world without destroying the planet. National Geographic. https://www.nationalgeographic.com/environment/article. Retrieved 2021/3/01

Maliwal, P. and Mundra, S. (2011). Agronomy at a glance. Agrotech Publishing Academy. ISBN: 978-81-8321-200-7. Pages 1-9

Minh, Q., Phan, T., Takahashi, A., Thanh, T., Duy, S., Thanh, M. and Hong, C. (2017). A Cost-effective Smart Farming System with Knowledge Base. In SoICT ’17: Eighth International Symposium on Information and Communication Technology, Vietnam. https://doi.org/10.1145/3155133.3155151. Retrieved 2021/3/21

Ministry of Agriculture, Food Security, and Enterprise (MAFSE). (2021). Belize Covered Structure and Capacity Enhancement Project. https://www.agriculture.gov.bz/belize-covered-structure-and-capacity-enhancement-project/. Retrieved 2021/3/19

Muangprathuba, J. et al. (2018). IoT and agriculture data analysis for smart farm. Prince of Songkla University, Thailand. : www.elsevier.com/locate/compag. Retrieved 2021/4/4

Murugesan, R. and Sudarsanam, S.K. (2020). Development of Smart Farming Framework. VIT Business School, Chennai. file:///C:/Users/user/Downloads/Paper-pdf-DevelopmentofSmartFarmingFramework.pdf. Retrieved 2021/2/27

Park, J. and Lee, S. (2019). Smart Village Projects in Korea: Rural Tourism, 6th Industrialization, and Smart Farming. Emerald Studies in Politics and Technology. 78-1-78769-845-120191011/full/html?utm_source=TrendMD&utm_medium=cpc&utm_campaign=Emerald_Studies_in_Politics_and_Technology_TrendMD_1. ISBN: 9781787698468. Retrieved 2021/03/05

Park, J., Choi, J.H. and Min, O. (2017). A Layered Features Analysis in Smart Farm Environments. SW Contents Research Laboratory ETRI, Daejeon, Korea. https://dl.acm.org/doi/pdf/10.1145/3175684.3175720. Retrieved 2021/4/4

Pavlova, M. (2016). Problems of Conventional Agriculture and Opportunities to Overcome Its Effects on the Environment. University of Economics - Varna. https://ideas.repec.org/a/vra/journl/y2016i1p77-84.html. Retrieved 2021/2/28

Ramirez, D., Ordaz, J., Mora, J., Acosta, A. and Serna, B. (2013). Belize Effects of Climate Change On Agriculture. Economic Commission for Latin America and the Caribbean (ECLAC), Mexico. https://archivo.cepal.org/pdfs/Mexico/2013/M20130001.pdf. Retrieved 2021/3/19

Requena, G., Garcia, C. and Vasquez, M. (2020). Building resilient communities in Belize Through climate-smart agricultural practices. Parks Stewardship Forum. http://du/psf/?p=1732https://parks.berkeley.e. Retrieved 2021/2/25

Revich, J. et al. (2016). Precision Farming: Cheating Malthus with Digital Agriculture. Profiles in Innovation. https://www.gspublishing.com/content/research/en/reports/2016/07/13/6e4fa167-c7ad-4faf-81de-bfc6acf6c81f.pdf. Retrieved 2021/3/21

Saiz-Rubio, V. and Rovira-Más, F. (2020). From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management. Agricultural Robotics Laboratory (ARL), Universitat Politècnica de València, Camino de Vera, Spain. https://www.mdpi.com/journal/agronomy. Retrieved 2021/03/04

Santiteerakul, S., Sopadang, A., Tippayawong, K. and Tamivol, K. (2020). The Role of Smart Technology in Sustainable Agriculture: A Case Study on Wangree Plant Factory. Chiang Mai University, Thailand. file:///C:/Users/user/Downloads/sustainability-12-04640%20(1).pdf. Retrieved 2021/03/05

Sarker, N., Islam, S., Murmu, H. and Rozario, E. (2020). Role of Big Data On Digital Farming. Vol. 9, Issue 4. International Journal of Scientific & Technology Research. https://www.researchgate.net/profile/Md-Sarker-39/publication/340621138_Role_of_Big_Data_On_Digital_Farming/links/. ISSN 2277-8616. Retrieved 2021/03/04

Schmitz, A. and Isselstein, J. (2020). Effect of Grazing System on Grassland Plant Species Richness and Vegetation Characteristics: Comparing Horse and Cattle Grazing. University of Göttingen, Germany. file:///C:/Users/user/Downloads/sustainability-12-03300.pdf. Retrieved 2021/3/19

Serano, A. (2018). Climate-Smart Agriculture in Belize. International Center for Tropical Agriculture (CIAT); World Bank, Washington, D.C. https://climateknowledgeportal.worldbank.org/sites. Retrieved 2021/2/25

Statistical Institute of Belize. LFS Labour Force Survey. Data Dissemination Department. http://sib.org.bz/wp-content/uploads/LabourForce_2020-. Retrieved 2021/2/27

Suanpang, P. and Jamjuntr, P. (2019). A Smart Farm Prototype with an Internet of Things (IoT) Case Study: Thailand. Suan Dusit University, Thailand. Journal of Advanced Agricultural Technologies Vol. 6. http://www.joaat.com/uploadfile/2019/1220/20191220115115540.pdf. Retrieved 2021/3/21

Triantafyllou, A., Sarigiannidis, P. and Bibi, S. (2019). Precision Agriculture: A Remote Sensing Monitoring System Architecture. Vol. 8. University of Western Macedonia, Greece. file:///C:/Users/user/Downloads/information-10-00348-v2.pdf. Retrieved 2021/3/21

UKEssays. (November 2018). The Importance Of Agriculture In Developing Countries Economics Essay. https://www.ukessays.com/essays/economics/the-importance-of-agriculture-in-developing-countries-economics-essay. Retrieved 2021/3/20

Verma, S. (2019). Agriculture 1.01 to 4.0. LinkedIn. https://www.linkedin.com/pulse/agriculture-10-40-sourabh-verma/. Retrieved 2021/3/05

Wiggins, S., Argwings-Kodhek, G., Leavy, J. and Poulton, C. (2011). Small farm commercialisation in Africa: Reviewing the issues. Future Agricultures. https://assets.publishing.service.gov.uk/media/57a08ad1e5274a27b20007b3/research_Paper23.pdf. Retrieved 2021/3/02

Wolfert, S., Cor Verdouw, L. and Bogaardt, M. (2017). Big Data in Smart Farming - A Review. Information Technology Group, Wageningen University, The Netherlands. https://www.sciencedirect.com/science/article/pii/S0308521X16303754. Retrieved 2021/2/27

Xin, J. and Zazueta, F. (2016). Technology trends in ICT - Towards data-driven, farmer-centered. University of Florida. https://www.researchgate.net/publication/312062029_Technology_trends_in_ICT_-_Towards_data-driven_farmer-centered. Retrieved 2021/2/18

Yoon, 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 2021/4/4

Zambon, 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 2021/03/06

Zyl, 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