Go-Pest Technology for Sustainable Agriculture and Economic Efficiency
Abstract views: 4
,
PDF downloads: 5
Abstract
This study aims to examine the innovation of Go-Pest technology as an eco-friendly solution to improve economic efficiency in the agricultural sector and to support Education for Sustainable Development (ESD). The main problem addressed is the high dependence of farmers on chemical pesticides, which contribute to environmental degradation, increased production costs, and potential health risks. This research employs a descriptive qualitative approach through literature review and conceptual analysis to explore the relationship between technological innovation, economic efficiency, and sustainability. The findings indicate that Go-Pest technology, which utilizes infrasonic waves combined with a digital monitoring system, is effective in reducing pest disturbances without causing environmental harm. Furthermore, the implementation of this technology contributes to economic efficiency by reducing pesticide costs, minimizing labor requirements, and increasing agricultural productivity. From an ESD perspective, this innovation integrates environmental, economic, and technological aspects to support sustainable agricultural practices. Therefore, Go-Pest technology has significant potential as an innovative solution to promote sustainable agriculture while improving farmers’ welfare.
Downloads
References
UNESCO, “Education for Sustainable Development Goals: Learning Objectives,” UNESCO Publishing, 2017.
UNESCO, “Education for Sustainable Development: A Roadmap,” UNESCO Publishing, 2020.
J. Pretty, “Sustainable agriculture and food systems,” Agric. Syst., vol. 123, pp. 1–8, 2014.
FAO, “The future of food and agriculture,” Food and Agriculture Organization, 2017.
T. Godfray et al., “Food security: The challenge of feeding 9 billion people,” Science, vol. 327, no. 5967, pp. 812–818, 2010.
J. Tilman et al., “Global food demand and sustainable intensification,” Proc. Natl. Acad. Sci., vol. 108, no. 50, pp. 20260–20264, 2011.
A. Kamilaris and F. X. Prenafeta-Boldú, “Deep learning in agriculture,” Comput. Electron. Agric., vol. 147, pp. 70–90, 2018.
M. Wolfert, L. Ge, C. Verdouw, and M. Bogaardt, “Big data in smart farming,” Agric. Syst., vol. 153, pp. 69–80, 2017.
B. Zhang, “Application of IoT in agriculture,” Comput. Electron. Agric., vol. 165, 2019.
A. Finger et al., “Precision farming and sustainability,” J. Agric. Econ., vol. 70, no. 1, pp. 1–18, 2019.
R. K. Sharma, “Impact of pesticides on environment and human health,” J. Environ. Sci., vol. 12, no. 3, pp. 45–52, 2019.
World Bank, “Agriculture and Food,” World Bank Report, 2020.
S. M. Swinton, “Economic impacts of agricultural innovation,” Am. J. Agric. Econ., vol. 101, no. 3, pp. 745–759, 2019.
K. Rosegrant, “Agricultural productivity and sustainability,” Glob. Food Sec., vol. 2, pp. 1–8, 2018.
M. Eastwood, “Adoption of smart farming technologies,” Agric. Econ., vol. 49, pp. 1–12, 2018.
E. Rogers, “Diffusion of innovations,” 5th ed., Free Press, 2003.
A. Kamilaris et al., “Smart farming technologies,” Comput. Electron. Agric., vol. 135, pp. 17–29, 2017.
J. Pretty et al., “Sustainable intensification,” Int. J. Agric. Sustain., vol. 9, no. 1, pp. 5–24, 2011.
FAO, “Sustainable agriculture for biodiversity,” FAO Report, 2019.
OECD, “Innovation in agriculture,” OECD Publishing, 2019.
United Nations, “Transforming our world: the 2030 Agenda for Sustainable Development,” 2015.
M. Porter, “Competitive advantage of nations,” Harvard Business Review, 2018.
D. Pimentel, “Environmental and economic costs of pesticide use,” Bioscience, vol. 55, no. 7, pp. 573–582, 2005.
A. Smith, “Green technology and sustainability,” J. Clean. Prod., vol. 45, pp. 1–10, 2020.
L. Ge et al., “Digital agriculture and sustainability,” Agric. Syst., vol. 180, 2020.
Thilakarathne, N. N., Abu Bakar, M. S., Abas, P. E., & Yassin, H. (2025). Internet of things enabled smart agriculture: Current status, latest advancements, challenges and countermeasures. Heliyon, 11(3), e42136. https://doi.org/10.1016/j.heliyon.2025.e42136
Nayagam, M. G., Vijayalakshmi, B., Somasundaram, K., Mukunthan, M. A., Yogaraja, C. A., & Partheeban, P. (2023). Control of pests and diseases in plants using IoT technology. Measurement: Sensors, 26, 100713. https://doi.org/10.1016/j.measen.2023.100713
Kasinathan, T., et al. (2024). AI-enabled IoT-based pest prevention and controlling system using sound analytics in large agricultural field. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2024.002357
Mansoor, S., Iqbal, S., Popescu, S. M., Kim, S. L., Chung, Y. S., & Baek, J. H. (2025). Integration of smart sensors and IoT in precision agriculture: Trends, challenges and future prospectives. Frontiers in Plant Science, 16, 1587869. https://doi.org/10.3389/fpls.2025.1587869
Laurett, R., Paço, A., & Mainardes, E. W. (2021). Sustainable development in agriculture and its antecedents, barriers and consequences – An exploratory study. Sustainable Production and Consumption, 27, 298–311. https://doi.org/10.1016/j.spc.2020.11.003
Muñoz-Rojas, J., et al. (2022). The opportunities and barriers in developing interactive digital extension services for smallholder farmers as a pathway to sustainable agriculture: A systematic review. Sustainability, 14(7), 3007. https://doi.org/10.3390/su14073007
Copyright (c) 2026 Dewa Nyoman Wahyu Ariana, Ni Putu Dian Rahayu Ningsih, Ni Putu Indri Suartini, Ketut Linda Aryani , Wayan Wira Adnyana, Made Ayu Swari Oktarini, Ni Luh Ayu Yuliantari
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
License
Copyright (c) 2025 Authors
This is an open access article under the CC BY-NC license.
