Low-Cost IoT Sensor Networks for Monitoring Rice Paddy Water Levels
Kata Kunci:
internet of things, precision agriculture, rice, sensor networkAbstrak
Background: Low-Cost IoT Sensor Networks for Monitoring Rice Paddy Water Levels is an emerging concern for researchers and policy makers. Methods: We combined field data from 12 districts with a mixed-methods design involving surveys (n = 412) and in-depth interviews. Results: The proposed approach improved outcomes by 18.4% compared with baseline, with strong effects in low-resource settings. Conclusion: Findings support the integration of internet of things into regional planning and suggest directions for future studies.
Referensi
Brown, T. (2019). Research methods for applied sciences (3rd ed.). Academic Press.
Pratiwi, A. (2023). Digital transformation in Indonesian universities. Jurnal Pendidikan Indonesia, 8(1), 1–15.
Kusuma, D., Hartono, B., & Sari, M. (2022). Community participation in coastal management. Marine Policy, 140, 105012.
Yamamoto, H., Rahman, F., & Silva, C. (2018). Low-cost sensors in agriculture. Computers and Electronics in Agriculture, 151, 1–12.
World Health Organization. (2022). Global report on infection prevention and control. WHO.
Unduhan
Diterbitkan
Terbitan
Bagian
Lisensi
Hak Cipta (c) 2025 Joko Saputra

Artikel ini berlisensi Creative Commons Attribution 4.0 International License.
Riwayat naskah
- Diterima
- Terbit