Main Article Content

Abstract

Farmers in Ringinarum Village, Kendal Regency, face major challenges in agricultural production due to the use of conventional spraying methods, which lead to chemical inefficiency, high labor costs, and health risks from direct exposure to pesticides. This community partnership program aims to empower the Ringinarum Farmers Group through the introduction of smart automatic agriculture spray technology as an appropriate solution. The program was implemented through several stages, including socialization, training, technology installation, mentoring, and evaluation. The device integrates sensors, microcontrollers, and multi-nozzle sprayers to optimize pesticide and fertilizer application efficiently and safely. The results show that the technology improves spraying efficiency by up to 30%, reduces chemical exposure by 70%, and decreases labor costs by approximately 40%. In addition, the program enhanced farmers’ skills and awareness in adopting smart farming practices. This empowerment activity not only addresses technical problems but also builds the capacity of the farmers to manage modern agricultural practices sustainably.

Keywords

Community empowerment Smart agriculture Automatic spray

Article Details

References

  1. Badan Pusat Statistik. (2022). Statistik pertanian Indonesia. BPS.
  2. Balafoutis, A. T., Beck, B., Fountas, S., Vangeyte, J., Van Der Wal, T., Soto, I., Gómez-Barbero, M., Barnes, A., & Eory, V. (2020). Precision agriculture technologies positively contributing to GHG emissions mitigation, farm productivity and economics. Sustainability, 9(8), 3727. https://doi.org/10.3390/su9081339
  3. Food and Agriculture Organization. (2019). Precision agriculture and its benefits. FAO.
  4. Fountas, S., Mylonas, N., Malounas, I., Rodias, E., Hellmann Santos, C., & Pekkeriet, E. (2020). Agricultural robotics for field operations. Sensors, 20(9), 2672. https://doi.org/10.3390/s20092672
  5. Kementerian Pertanian RI. (2021). Teknologi penyemprotan pertanian berbasis otomatis. Kementan.
  6. Khanna, A., & Kaur, S. (2019). Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture. Computers and Electronics in Agriculture, 157(2), 218–231. https://doi.org/10.1016/j.compag.2018.12.039
  7. Liakos, K. G., Busato, P., Moshou, D., Pearson, S., & Bochtis, D. (2018). Machine learning in agriculture: A review. Sensors, 18(8), 2674. https://doi.org/10.3390/s18082674
  8. Muliandhi, P. (2022). Peningkatan keterampilan teknologi tepat guna pembuatan baterai magnesium lampu lilin air di SMK Negeri 1 Cluwak Kabupaten Pati. In Laporan kinerja penelitian dan pengabdian (p. 56). LPPM Universitas Semarang.
  9. Namami, S., & Gonen, B. (2020). Smart agriculture based on IoT and cloud computing. 2020 3rd International Conference on Information and Computer Technologies (ICICT), 52071. https://doi.org/10.1109/ICICT50521.2020.00094
  10. Navulur, S., Sastry, A. S. C. S., & Prasad, M. N. G. (2017). Agricultural management through wireless sensors and internet of things. International Journal of Electrical and Computer Engineering, 7(6). https://doi.org/10.11591/ijece.v7i6.pp3492-3499
  11. Prasetyo, T. F., Sukmasari, M. D., Andayani, S. A., Nuraisah, A., Hidayatulloh, M. R., & Andriansah, D. (2025). Implementasi Pemanfaatan Perangkat IoT Pada Tanaman Holtikultura (Cabai Merah Besar Di Argapura Majalengka). BERNAS: Jurnal Pengabdian Kepada Masyarakat, 6(3), 2738–2746. https://doi.org/10.31949/jb.v6i3.14782
  12. Santoso, L. (2020). Penerapan smart farming dalam pertanian berkelanjutan. Prosiding Seminar Nasional Pertanian, 123–130.
  13. Shamshiri, R. R., Weltzien, C., Hameed, I. A., Yule, I. J., Grift, T. E., Balasundram, S. K., & Chowdhary, G. (2018). Research and development in agricultural robotics: A perspective of digital farming. International Journal of Agricultural and Biological Engineering, 11(4), 1–14. https://doi.org/10.25165/j.ijabe.20181104.4278
  14. Sishodia, R., Ray, R. L., & Singh, S. K. (2020). Applications of Remote Sensing in Precision Agriculture: a review. Remote Sensing, 12(19), 3136. https://doi.org/10.3390/rs12193136
  15. Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big data in smart farming – A review. Agricultural Systems, 153, 69–80. https://doi.org/10.1016/j.agsy.2017.01.023
  16. World Health Organization. (2020). Health risks associated with pesticides in agriculture. WHO.