Towards cyber-eco systems: Networked sensing, inference and control for distributed ecological experiments

Keyphrases

• Networked Control 100%
• System Architecture 100%
• Ecological Experiments 100%
• Cyber Ecosystem 100%
• Processing Node 100%
• Cyber-physical Systems 100%
• Network Sensing 100%
• Irrigation 50%
• Water Availability 50%
• Energy Conservation 50%
• Climate Change 50%
• Soil Temperature 50%
• Sensor Design 50%
• Application Domain 50%
• Plant Growth 50%
• Ecological System 50%
• Site-level 50%
• Environment Change 50%
• Level Control 50%
• Rainout Shelter 50%
• Actuation 50%
• Elevational Gradient 50%
• System Implementation 50%
• Latency 50%
• Air Temperature 50%
• Plant Survival 50%
• Hardware Complexity 50%
• Physical Systems 50%
• Genetic Environment 50%
• Response to Climate 50%
• Communication Protocol 50%
• Distributed Control 50%
• Genetic Changes 50%
• System Application 50%
• Plant-wide 50%
• Parallel Processing 50%
• Real-time Processing 50%
• Negative Control 50%
• Design of Experiments 50%
• Plant Growth Dynamics 50%
• Scale Control 50%
• Data-driven Predictive Model 50%
• Heterogeneous Nodes 50%
• Node Energy 50%
• Energy-aware 50%
• Physical System Models 50%
• Data Assimilation 50%
• Actuator Node 50%
• Node Design 50%
• Inference Control 50%
• Hardware Design 50%
• Climate Drivers 50%
• Geographically Distributed 50%
• Sensor Actuator Networks (SANETs) 50%
• Software Design 50%
• Sensor-actuators 50%

Computer Science

• System Architectures 100%
• Cyber Physical Systems 100%
• Physical System 100%
• Predictive Model 50%
• Application Domain 50%
• System Implementation 50%
• Distributed Control 50%
• Processing Node 50%
• Parallel Processing 50%
• Time Processing 50%
• Software Design 50%
• Hardware Design 50%
• Networking Protocol 50%
• Actuator Networks 50%

Biochemistry, Genetics and Molecular Biology

• Genetics 100%
• Dynamics 100%