Smart Farming: Challenges and Adoption Factors among Paddy Farmers in IADA Barat Laut, Selangor
Abstract
Enhancing farm production through smart farming technology is crucial for addressing the challenges of achieving food security and improving the well-being of farmers. Aligned with Sustainable Development Goal 2 (SDG2), which is intended to tackle food insecurity and malnutrition while improving livelihood, smart farming integrates technologies such as IoT, drones, and artificial intelligence into agricultural practices. This innovation optimizes input like water, fertilizer, and pesticide, reduces operation costs, and increases productivity and profits. Food security in Malaysia is measured based on the adequacy of the population's domestic rice supply. Smart farming offers a transformative approach to modern agriculture, focusing on increasing value while reducing costs. Therefore, this study aims to explore challenges and adoption factors among paddy farmers in Barat Laut Selangor, under the administration of the Integrated Agriculture Development Area (IADA). An exploratory qualitative study involved the interview approach with selected rice farmers who applied smart farming as suggested by IADA. The thematic analysis was used to understand the factors that contribute to the adoption of smart farming among rice farmers and its challenges. This research is critical, given Malaysia is moving towards a high-income country, where sustainability becomes the main agenda in any sector specifically agriculture; and the country has acknowledged the importance of food security assurance. By identifying the challenges and adoption factors, this study aims to provide actionable insights to support sustainable agricultural practices and strengthen Malaysia's food security framework.
Downloads
References
Abdul Aziz, F. A., Mohamed Shariff, A. R., Mohd Soom, M. A., Abdul Rahim, A., Johanshiri, E. & Che’ Ya, N. N. (2008). GIS-Based System for Paddy Precision Farming. World Conference on Agricultural Information and IT, 2008.
Adnan, N., Md Nordin, S. & Anwar, A. (2020). Transition pathways for Malaysian paddy farmers to sustainable agricultural practices: An integrated exhibiting tactics to adopt Green fertilizer, Land Use Policy, 90, 104255, https://doi.org/10.1016/j.landusepol.2019.104255.
Alqarni, M., Almalki, F., Soufiene, B., Ali, O., & Albalwy, F. (2022). Authenticated wireless links between a drone and sensors using a blockchain: the case of smart farming. Wireless Communications and Mobile Computing, 1-13. https://doi.org/10.1155/2022/4389729
Akpojotor, O. L. (2016). Awareness And Usage Of Electronic Information Resources Among Postgraduate Students Of Library And Information Science In Southern Nigeria.
Balafoutis, A. T., van Evert, F. K., & Fountas, S. (2020). Smart farming technology trends: Economic and environmental effects, labor impact, and adoption readiness. Agronomy, 10(5), 743. https://doi.org/10.3390/agronomy10050743
Bolfe, É. L., Jorge, L. A. de C., Sanches, I. D., Luchiari Júnior, A., da Costa, C. C., Victoria, D. de C., Inamasu, R. Y., Grego, C. R., Ferreira, V. R., & Ramirez, A. R. (2020). Precision and Digital Agriculture: Adoption of Technologies and Perception of Brazilian Farmers. Agriculture, 10(12), 653. https://doi.org/10.3390/agriculture10120653
Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press
Bujang, A. S. & Bakar, B. A. (2019). Precision agriculture in Malaysia. Proceedings of International Workshop on ICTs for Precision Agriculture, 6–8 August 2019, 91–104. Mardi Headquarters, Selangor, Malaysia.
Che Omar, A., Shaharudin, A., & Tumin, S. A. (2019). The Status of the Paddy and Rice Industry in Malaysia. Khazanah Research Institute.
Corbin, J., & Strauss, A. (2008). Basics of qualitative research: Techniques and procedures for developing grounded theory (3rd ed.). Sage Publications, Inc. https://doi.org/10.4135/9781452230153
Dhanaraju, M., Chenniappan, P., Ramalingam, K., Pazhanivelan, S., & Kaliaperumal, R. (2022). Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture. Agriculture, 12(10), 1745. https://doi.org/10.3390/agriculture12101745
Dayang Siti Norhafiza Abang Ahmad, Fazleen Abdul Fatah, Abdul Rahman Saili, Jamayah Saili, Nur Masriyah Hamzah, Rumaizah Che Md Nor, & Zubaidah Omar. (2024). Exploration of the Challenges in Adopting Smart Farming Among Smallholder Farmers: A Qualitative Study. Journal of Advanced Research in Applied Sciences and Engineering Technology, 45(1), 17–27. https://doi.org/10.37934/araset.45.1.1727
Dung, L. T., & Hiep, N. T. H. (2017). The revolution of Agriculture 4.0 and sustainable agriculture development in Vietnam. Proceedings of International Conference on Emerging Issues in Economics and Business in the Context of International Integration National Economics University Press Hanoi, December.
Emelogu, N. U., Nwafor, C. K., Chigbu, G. U., Okoyeukwu, N. G., & Eze, K. O. (2022). Awareness, proficiency and challenges in the use of emerging technologies by ESL university lecturers in the post-COVID- 19 ERA. Cogent Education, 9(1). https://doi.org/10.1080/2331186x.2022.2084962
FAO (2019). Prospettive agricole ocse-fao 2019-2028.. https://doi.org/10.1787/6b912624-it
Food and Agriculture Organization of the United Nations. (2005). Trade reforms and food security: Conceptualizing the linkages. Food and Agriculture Organization of the United Nations.
Gabriel, W. W. E. & Haritharan, D. (2020). The Development of Smart Farming Technologies and Its Application in Malaysia. International Journal of Scientific & Technology Research, 9(08).
Kamal, R. M., & Amin, M. S. M. (2010). GIS-based irrigation water management for precision farming of rice. International Journal of Agricultural and Biological Engineering, 3(3), 27–35.
Klassen, S. and Murphy, S. (2020). Equity as both a means and an end: lessons for resilient food systems from Covid-19. World Development,136, 105104. https://doi.org/10.1016/j.worlddev.2020.105104
Levitt, H. M., Motulsky, S. L., Wertz, F. J., Morrow, S. L., & Ponterotto, J. G. (2017). Recommendations for designing and reviewing qualitative research in psychology: Promoting methodological integrity. Qualitative Psychology, 4(1), 2–22.
Malaysia, Department of Agriculture. (2020). Crop Statistics (Food Crops Subsector) 2020.
Mat Lazim, R., Mat Nawi, N., Masroon, M. H., Abdullah, N. & Mohammad Iskandar, M. (2020). Adoption of IR4.0 in the Agricultural Sector in Malaysia. Potential and Challenges. Advances in Agricultural and Food Research Journal; 1(2), a0000140.
Mohd Nadzuar, N., Abdul Fatah, F., Saili, A. R., Abang Ahmad, D. S. N., Ali, F., Aziz, N. N. H., Wondi, M. H., & Ekawati, E. (2024). The Benefits of the Adoption of Smart Agriculture in Oil Palm Estates: A Qualitative Study. Journal of Advanced Research in Applied Sciences and Engineering Technology, 290–298. https://doi.org/10.37934/araset.60.1.290298
Najim, M. M. M., Lee, T.S., Haque, M. A. & Esham, M. (2007). Sustainability of Rice Production: A Malaysian Perspective. Journal Of Agricultural Sciences.
Paslakis, G., Dimitropoulos, G., & Katzman, D. K. (2020). A call to action to address COVID–19 induced global food insecurity to prevent hunger, malnutrition, and eating pathology. Nutrition Reviews, 79(1), 114-116. https://doi.org/10.1093/nutrit/nuaa069
Rahim, H., Abdul Wahab, M. A. M., Mat Amin, M. Z., Harun, A. & Haimid, M. T. (2008). Perception and Acceptance of Farmers on Precision Farming Technology in Selected Granary Area. Economic and Technology Management Review, 13, 97–110.
Strauss, A., and Corbin, J. (2008). (3rd Ed.) Thousand Oaks, London, New Delhi: SAGE Publications
Sadiku, M., Ashaolu, T., Ajayi-Majebi, A., & Musa, S. (2020). Smart farming. International Journal of Scientific Advances, 1(3). https://doi.org/10.51542/ijscia.v1i3.2
Wolfson, J. A. and Leung, C. W. (2020). Food insecurity and COVID-19: disparities in early effects for us adults. Nutrients, 12(6), 1648. https://doi.org/10.3390/nu12061648
Copyright (c) 2024 Abdul Rahman Saili, Nur Badriyah Kamarul Zaman, Wan Noranida Wan Mohd Noor, Fazleen Abdul Fatah, Farah Adila Abdullah
This work is licensed under a Creative Commons Attribution 4.0 International License.
Author (s) should affirm that the material has not been published previously. It has not been submitted and it is not under consideration by any other journal. At the same time author (s) need to execute a publication permission agreement to assume the responsibility of the submitted content and any omissions and errors therein. After submission of revised paper in the light of suggestions of the reviewers, the editorial team edits and formats manuscripts to bring uniformity and standardization in published material.
This work will be licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) and under condition of the license, users are free to read, copy, remix, transform, redistribute, download, print, search or link to the full texts of articles and even build upon their work as long as they credit the author for the original work. Moreover, as per journal policy author (s) hold and retain copyrights without any restrictions.
