Low-Cost IoT Sensor Networks for Monitoring Rice Paddy Water Levels

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Keywords:

internet of things, precision agriculture, rice, sensor network

Abstract

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.

References

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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.

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Published

2025-06-30

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