Dynamics of Precision Irrigation Adoption based on Sensors among Small-Scale Rice Farmers a Multi-Site Case Study in Indonesia User Experiences of Drone-Based Land

Hermantoro Hermantoro

doi:10.55927/fjst.v4i9.219

Authors

Hermantoro Hermantoro Institut Pertanian Stiper

DOI:

https://doi.org/10.55927/fjst.v4i9.219

Keywords:

Precision Irrigation, Sensor-Based Technology, Drone-Based Land Management, Small-Scale Rice Farmers

Abstract

This study investigates the adoption dynamics of sensor-based precision irrigation and drone-assisted land management among smallholder rice farmers in Indonesia. Using a multi-site mixed methods case study with surveys, interviews, and field experiments, findings show that adoption of irrigation sensors is shaped by perceived technical benefits, investment costs, and extension support, while drone use is influenced by ease of operation and access to services. Economic analysis indicates that combining sensors and drones improves water efficiency by up to 27% and reduces labor costs by 15%. The study concludes that integrating these technologies can enhance the sustainability of small-scale rice farming and provides important policy and engineering implications for precision agriculture in Indonesia.

References

Amoussouhoui, V., Adjovi, E., & Houssou, C. (2024). Adoption dynamics of precision irrigation technologies among smallholder farmers in Africa. Agricultural Water Management, 290, 108774.

Chen, H., Wang, J., & Liu, Y. (2023). Bridging the gap between agricultural technology potential and smallholder adoption: Evidence from Asia. Sustainability, 15(11), 4431.

Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE Publications.

Etikan, I., & Bala, K. (2022). Sampling methods and research designs in social science studies. International Journal of Academic Research, 12(2), 45–52.

Fetters, M. D. (2020). The mixed methods research workbook: Activities for designing, conducting, and publishing projects. SAGE Publications.

Fikri, M., Prasetyo, Y., & Santoso, H. (2023). Drone-based technologies for sustainable rice farming: Opportunities and challenges in Southeast Asia. Journal of Precision Agriculture, 24(3), 215–229.

Geng, Q., Zhou, L., & Huang, Y. (2024). Digital technologies and sustainable farming practices: A smallholder perspective. Sustainability, 16(11), 4431.

Guebsi, A., Kadi, S., & Benyahia, M. (2024). Farmer perceptions of smart irrigation systems: Evidence from multi-site studies. Computers and Electronics in Agriculture, 212, 108165.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications.

Hussin, S., Abdullah, R., & Karim, N. (2023). Barriers to adopting precision irrigation in developing countries: Evidence from rice farmers. Agricultural Systems, 205, 103524.

Kumar, P., & Devi, S. (2022). Socio-cultural dimensions of precision agriculture adoption in smallholder farming. Journal of Rural Studies, 93, 45–55.

Kumar, R., Sharma, T., & Patel, D. (2022). Economic and institutional factors influencing precision irrigation adoption in Asia. Irrigation and Drainage, 71(3), 389–402.

Li, Y., & Zhao, X. (2022). Barriers and drivers of agricultural drone adoption among smallholder farmers in Asia. Computers and Electronics in Agriculture, 198, 107090.

Lopez, J., Ramirez, P., & Torres, M. (2021). Community-based approaches to promoting agricultural technology adoption: Evidence from smallholder farmers. World Development, 147, 105642.

Mizik, T. (2023). Precision irrigation and sustainable water management: A global review. Water, 15(6), 1152.

Montes de Oca Munguia, O., Wilson, C., & Chen, X. (2021). Institutional support and agricultural technology adoption: Evidence from case studies. Journal of Development Studies, 57(12), 2104–2120.

Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2022). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 21, 1–13.

Rahman, M., Idris, S., & Khatun, R. (2024). Challenges and opportunities of precision agriculture adoption among smallholder rice farmers in Southeast Asia. Sustainability, 16(7), 3550.

Revolutionizing Agrotechnology. (2023). The role of drones in advancing precision agriculture. Journal of Agricultural Innovation, 8(2), 55–70.

Singh, R., Patel, D., & Mehta, A. (2022). Adoption of sensor-based precision irrigation in smallholder rice systems: Opportunities and challenges. Agricultural Water Management, 267, 107684.

Snyder, H. (2022). Applications of case study research in mixed methods: Bridging quantitative and qualitative approaches. Journal of Mixed Methods Research, 16(3), 310–325.

Torres, J., Martínez, P., & Alvarez, F. (2021). Applications of unmanned aerial vehicles in rice cultivation: Opportunities and challenges. Drones, 5(4), 105.

Zhang, L. (2024). Understanding farmer perceptions in adopting precision agriculture technologies: A mixed-method study. Humanities and Social Sciences Communications, 11(1), 223.