معرفی
Nipuna Chamara is Research Assistant Professor specializing in digital agriculture. His research integrates AI, IoT, and edge computing for crop monitoring and precision farming. He developed AICropCAM—an edge-processing platform deploying deep learning models for real-time plant phenotyping.
Research focuses:
- Edge-computing frameworks for agricultural IoT
- Deep learning applications in plant/canopy parameterization
- Low-power sensor networks for field deployment
His AICropCAM system reduces data transmission needs by 99.995% through on-device processing, enabling real-time decision-making in resource-limited environments.
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