Objective 1: Autonomous Greenhouse Mobility
Develop a robust path-following platform that keeps the robot aligned within crop rows and safely inside arm reach limits.
Objective 2: Dual-Purpose AI Perception
Deploy edge AI that supports both ripeness detection for harvesting and foliar pathology detection for intervention.
Objective 3: Precision Robotic Intervention
Integrate a 4-DOF manipulator with modular end-effectors for non-destructive fruit picking and localized disease spraying.
Objective 4: Network Resilience
Implement LoRa-based sensing and SDN-managed communication to preserve control integrity during link congestion and failure.
Objective 5: Sustainability and Efficiency
Reduce chemical waste and labor dependency while improving reliability and intervention timeliness in greenhouse operations.
Objective 6: Quantitative Performance Validation
Verify the system with measurable outcomes, including detection mAP values, edge inference latency, packet delivery ratio, and failover response time under simulated link faults.