Volume 10, Issue 1, 2023

Development of Smart Farming Technologies in Malaysia - Insights from Bibliometric Analysis

Author(s)Gabriel Wee wei En, Irving Ting Shou Hui

DOI: doi.org/10.56527/fama.jabm.10.1.3

Keywords: smart farming technology, technology development, bibliometric analysis

                    
Abstract: Smart Farming Technologies are instrumental in the agriculture industry with the ability to boost the production of farm crops and livestock, improve the quality, control resource usage, and ensure sustainability while maximizing profit and minimizing the cost of production. In this review, we pursue a bibliometric analysis of the development of Smart Farming Technologies in Malaysia. Using bibliometric data of 204 research articles from the Scopus database, this review sheds light on the leading authors, countries, institutions, outlets, articles, and themes of transfer pricing research over 50 years (1979–2022). Findings of this review suggest that there is a need for SFT research to connect the technologies and the collected data in order to automate decision-making strategies.

Full text download here


References
 

Abram, NK, Xofis, P, Tzanopoulos, J, MacMillan, DC, Ancrenaz, M, Chung, R, Peter, L, Ong, R, Lackman, I & Goossens, B 2014, 'Synergies for improving oil palm production and forest conservation in floodplain landscapes', PloS one, vol. 9, no. 6, p. e95388.

Adnan, N, Nordin, SM & Ali, M 2018, 'A solution for the sunset industry: Adoption of Green Fertiliser Technology amongst Malaysian paddy farmers', Land Use Policy, vol. 79, pp. 575-584.

Adnan, N, Nordin, SM, Rahman, I & Noor, A 2017, 'Adoption of green fertilizer technology among paddy farmers: A possible solution for Malaysian food security', Land use policy, vol. 63, pp. 38-52.

Ahmad, A, Tan, L & Shukor, SA 2008, 'Dimethoate and atrazine retention from aqueous solution by nanofiltration membranes', Journal of hazardous materials, vol. 151, no. 1, pp. 71-77.

Ahmad Ludin, N, Ahmad Affandi, NA, Purvis-Roberts, K, Ahmad, A, Ibrahim, MA, Sopian, K & Jusoh, S 2021, 'Environmental impact and levelised cost of energy analysis of solar photovoltaic systems in selected Asia Pacific region: A cradle-to-grave approach', Sustainability, vol. 13, no. 1, p. 396.

Baig, MF, Mustafa, MRU, Baig, I, Takaijudin, HB & Zeshan, MT 2022, 'Assessment of land use land cover changes and future predictions using CA-ANN simulation for selangor, Malaysia', Water, vol. 14, no. 3, p. 402.

Baharudin, M. S. M., Ibrahim, R., Abdan, K., & Rashidi, A. (2018). Feasibility Of Green Commercial Vertical System For Climbing Food Plant In Urban Area. International Journal on Sustainable Tropical Design Research and Practice. 11(2), 12-16.

Chandra, S, Verma, S, Lim, WM, Kumar, S & Donthu, N 2022, 'Personalization in personalized marketing: Trends and ways forward', Psychology & Marketing,

Chia, MY, Huang, YF & Koo, CH 2020, 'Support vector machine enhanced empirical reference evapotranspiration estimation with limited meteorological parameters', Computers and Electronics in Agriculture, vol. 175, p. 105577.

De Datta, S 1986, 'Technology development and the spread of direct-seeded flooded rice in Southeast Asia', Experimental Agriculture, vol. 22, no. 4, pp. 417-426.

Dilipkumar, M, Chuah, TS, Goh, SS & Sahid, I 2020, 'Weed management issues, challenges, and opportunities in Malaysia', Crop Protection, vol. 134, p. 104347.

Donthu, N, Kumar, S, Mukherjee, D, Pandey, N & Lim, WM 2021a, 'How to conduct a bibliometric analysis: An overview and guidelines', Journal of Business Research, vol. 133, pp. 285-296.

Donthu, N, Kumar, S, Pattnaik, D & Lim, WM 2021b, 'A bibliometric retrospection of marketing from the lens of psychology: Insights from Psychology & Marketing', Psychology & Marketing, vol. 38, no. 5, pp. 834-865.

Elijah, O, Bakhit, AA, Rahman, TA, Chua, TH, Ausordin, SF & Razali, R 2019, 'Production of strawberry using internet of things: A review', Indonesian Journal of Electrical Engineering and Computer Science, vol. 15, no. 3, pp. 1621-1628.

Fung, KF, Huang, YF, Koo, CH & Mirzaei, M 2020, 'Improved SVR machine learning models for agricultural drought prediction at downstream of Langat River Basin, Malaysia', Journal of Water and Climate Change, vol. 11, no. 4, pp. 1383-1398.

Goh, CS, Tan, KT, Lee, KT & Bhatia, S 2010, 'Bio-ethanol from lignocellulose: status, perspectives and challenges in Malaysia', Bioresource technology, vol. 101, no. 13, pp. 4834-4841.

Hameed, B, Krishni, R & Sata, S 2009, 'A novel agricultural waste adsorbent for the removal of cationic dye from aqueous solutions', Journal of hazardous materials, vol. 162, no. 1, pp. 305-311.

Hua, AK 2017, 'Land use land cover changes in detection of water quality: a study based on remote sensing and multivariate statistics', Journal of environmental and public health, vol. 2017, 

Hurtado, AQ, Gerung, GS, Yasir, S & Critchley, AT 2014, 'Cultivation of tropical red seaweeds in the BIMP-EAGA region', Journal of Applied Phycology, vol. 26, no. 2, pp. 707-718.

Ibrahim, A. R., Ibrahim, N. H. N., Harun, A. N., Kassim, M. R. M., Kamaruddin, S. E., & Witjaksono, G. (2018, July). Bird Counting and Climate Monitoring using LoRaWAN in Swiftlet Farming for IR4. 0 Applications. In 2018 2nd International Conference on Smart Sensors and Application (ICSSA) (pp. 33-37). IEEE.

Iliyasu, A & Mohamed, ZA 2016, 'Evaluating contextual factors affecting the technical efficiency of freshwater pond culture systems in Peninsular Malaysia: A two-stage DEA approach', Aquaculture Reports, vol. 3, pp. 12-17.

Kumar, P, Gale, SW, Bouamanivong, S & Fischer, GA 2016, 'Identifying orchid hotspots for biodiversity conservation in Laos: the limestone karst vegetation of Vang Vieng District, Vientiane Province', Journal of Threatened Taxa, vol. 8, no. 12, pp. 9397-9417.

Li, Y & Solaymani, S 2021, 'Energy consumption, technology innovation and economic growth nexuses in Malaysian', Energy, vol. 232, p. 121040.

Lim, L. J., Sambas, H., Goh, N. C., Kawada, T., & JosephNg, P. S. (2017). ScareDuino: Smart-Farming with IoT. International Journal of Scientific Engineering and Technology, 6(6), 207-210.

Lim, WM, Kumar, S & Ali, F 2022, 'Advancing knowledge through literature reviews:‘what’,‘why’, and ‘how to contribute’', The Service Industries Journal, vol. 42, no. 7-8, pp. 481-513.

Lin, Z, Ooi, JK & Woon, KS 2022, 'An integrated life cycle multi-objective optimization model for health-environment-economic nexus in food waste management sector', Science of The Total Environment, vol. 816, p. 151541.

Ling, B-H, Leung, PS & Shang, YC 1999, 'Comparing Asian shrimp farming: the domestic resource cost approach', Aquaculture, vol. 175, no. 1-2, pp. 31-48.

Madani, B, Muda Mohamed, MT, Awang, Y, Kadir, J & Patil, VD 2013, 'Effects of calcium treatment applied around the root zone on nutrient concentrations and morphological traits of papaya seedlings ('Carica papaya'L. cv. Eksotika II)', Australian Journal of Crop Science, vol. 7, no. 5, pp. 568-572.

Mukherjee, D, Kumar, S, Donthu, N & Pandey, N 2021, 'Research published in management international review from 2006 to 2020: A bibliometric analysis and future directions', Management International Review, pp. 1-44.

Nkrumah, PN, Tisserand, R, Chaney, RL, Baker, AJ, Morel, JL, Goudon, R, Erskine, PD, Echevarria, G & van der Ent, A 2019, 'The first tropical ‘metal farm’: some perspectives from field and pot experiments', Journal of Geochemical Exploration, vol. 198, pp. 114-122.

Oliphant, AJ, Thenkabail, PS, Teluguntla, P, Xiong, J, Gumma, MK, Congalton, RG & Yadav, K 2019, 'Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine Cloud', International Journal of Applied Earth Observation and Geoinformation, vol. 81, pp. 110-124.

Othman, N, Ya'Acob, M, Abdul-Rahim, A, Othman, MS, Radzi, M, Hizam, H, Wang, Y, Ya'Acob, A & Jaafar, H 2015, 'Embracing new agriculture commodity through integration of Java Tea as high Value Herbal crops in solar PV farms', Journal of Cleaner Production, vol. 91, pp. 71-77.

Paul, J, Lim, WM, O’Cass, A, Hao, AW & Bresciani, S 2021, 'Scientific procedures and rationales for systematic literature reviews (SPAR‐4‐SLR)', International Journal of Consumer Studies, vol. 45, no. 4, pp. O1-O16.

Rasul, G & Thapa, GB 2003, 'Shifting cultivation in the mountains of South and Southeast Asia: regional patterns and factors influencing the change', Land Degradation & Development, vol. 14, no. 5, pp. 495-508.

Sarkar, M, Kabir, S, Begum, RA & Pereira, JJ 2020, 'Impacts of climate change on oil palm production in Malaysia', Environmental Science and Pollution Research, vol. 27, no. 9, pp. 9760-9770.

Tripathi, BM, Kim, M, Singh, D, Lee-Cruz, L, Lai-Hoe, A, Ainuddin, A, Go, R, Rahim, RA, Husni, M & Chun, J 2012, 'Tropical soil bacterial communities in Malaysia: pH dominates in the equatorial tropics too', Microbial ecology, vol. 64, no. 2, pp. 474-484.

Umar, MS, Jennings, P & Urmee, T 2014, 'Sustainable electricity generation from oil palm biomass wastes in Malaysia: An industry survey', Energy, vol. 67, pp. 496-505.

Voigt, M, Wich, SA, Ancrenaz, M, Meijaard, E, Abram, N, Banes, GL, Campbell-Smith, G, d’Arcy, LJ, Delgado, RA & Erman, A 2018, 'Global demand for natural resources eliminated more than 100,000 Bornean orangutans', Current Biology, vol. 28, no. 5, pp. 761-769. e5.

Yong, YS, Yong, WTL, Ng, SE, Anton, A & Yassir, S 2015, 'Chemical composition of farmed and micropropagated Kappaphycus alvarezii (Rhodophyta, Gigartinales), a commercially important seaweed in Malaysia', Journal of Applied Phycology, vol. 27, no. 3, pp. 1271-1275.

Yue, S, Brodie, JF, Zipkin, EF & Bernard, H 2015, 'Oil palm plantations fail to support mammal diversity', Ecological Applications, vol. 25, no. 8, pp. 2285-2292.

Zainuddin, ZB, Zailani, S, Govindan, K, Iranmanesh, M & Amran, A 2017, 'Determinants and outcome of a clean development mechanism in Malaysia', Journal of Cleaner Production, vol. 142, pp. 1979-1986.

36

Zivot, E., & Andrews, D. W. K. (2002). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 20(1), 25–44 doi:10.1198/073500102753410372