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Microcontroller-based water control system for evaluating crop water use characteristics
Daisuke Sugiura1, Shiro Mitsuya2, Hirokazu Takahashi2
1Graduate School of Bioagricultural Sciences, Nagoya University, Chikusa, Nagoya, 464-8601, Japan. daisuke.sugiura@gmail.com.
Plant Methods
|November 24, 2024
Summary
A new low-cost system enables high-throughput monitoring of plant water consumption. This technology aids in identifying crop varieties with improved water-use efficiency (WUE) and stress tolerance for enhanced food security.
Area of Science:
- Agricultural Science
- Plant Physiology
- Environmental Science
Background:
- Climate change and increasing agricultural water demand pose risks to global food security.
- Assessing crop water-use efficiency (WUE) and stress tolerance is vital for developing resilient crops.
- Traditional WUE assessment methods are low-throughput and labor-intensive.
Purpose of the Study:
- To develop a cost-effective, automated system for real-time monitoring of plant water consumption.
- To enable high-throughput evaluation of crop varietal differences in water use under various stress conditions.
Main Methods:
- A microcontroller-based system integrating automated pot weighing and Wi-Fi enabled real-time water consumption monitoring.
- Validation using major crops (rice, soybean, maize) under salt, waterlogging, and drought stress.
- Long-term monitoring to assess varietal differences and morphological adaptations.
Main Results:
- Salt-tolerant rice showed higher water consumption and growth under salinity compared to salt-sensitive varieties.
- Waterlogged soybean exhibited reduced water use and growth.
- Significant WUE variations were observed among rice varieties, and maize showed altered shoot-to-root ratios under drought.
Conclusions:
- The developed system effectively identifies varietal differences in crop response to drought, waterlogging, and salinity.
- This high-throughput, long-term evaluation system facilitates the development of water-saving and stress-tolerant crop varieties.

