Agri-Sense successfully integrates edge AI, robotic intervention, and SDN-driven resilient networking into one autonomous greenhouse platform. It closes the gap between passive monitoring and direct agricultural action.

The system improves intervention reliability in low-connectivity environments, reduces chemical waste, and lowers dependence on continuous manual labor while maintaining crop safety.

Planned extensions include solar-powered sensor nodes for long-term energy autonomy, multi-robot coordination for large greenhouse deployments, and expanded perception for pest density and soil nutrient deficiency analysis.

The current validation is based on controlled greenhouse trials and targeted disease classes. Future validation will expand to larger deployment scales, broader disease variability, and long-duration seasonal robustness testing.