Research
Our lab is conducting numerous research projects on digital agriculture. The projects include developing mobile applications for crop biotic stress management, robotic platforms for crop pruning and other operations, computer programs for ornamental crop disease detection, and unmanned aerial vehicle applications for precision decision-making, and cloud and edge computing technologies for crop management.
Sensing and Artificial Intelligence for Crop Biotic Stress Management
The smartphone applications for crop biotic stress management projects focus on creating mobile applications to aid farmers in identifying and managing biotic stress factors that affect crop health and yield.
Robotic Systems for Crop Management Operations
These projects aim to develop advanced robotic systems that can autonomously perform various tasks in crop management, such as disease tracking and monitoring, to enhance efficiency and productivity in agriculture.
UAV and UGV Applications for Precision Decision-Making and Crop Management
These types of projects aim to explore the use of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) for collecting high-resolution data to inform precise decision-making processes in various applications of agriculture crop management.
Cloud and Edge Computing Applications for Crop Disease Management
These type of projects focus on developing software applications that utilize cloud and edge computing technologies to enable efficient monitoring, early detection, and management of crop diseases.