With the growing world population and diminishing agricultural lands, it becomes imperative to maximize crop yield by protecting crop health and mitigating against pests and diseases. Though there are decades-old practices still in place, there is also growing adoption of so-called precision agriculture solutions, which employ emerging technologies in sensing, automation, and analytics in daily farmland operations. As farmers gain real-time access to critical data (e.g., land and weather conditions) and can quickly share any untoward findings with others, farmland operations are morphing into full-fledged cyber-physical systems. To this end, this project seeks to develop, implement and evaluate a multi-robot agricultural information collection system that is autonomous, efficient and secure.
Principal Investigators
 |  |  |  |
|---|---|---|---|
| Dr. Ayan Dutta (UNF) | Dr. Swapnoneel Roy (UNF) | Dr. Patrick Kreidl (UNF) | Dr. Ladislau Boloni (UCF) |
Students
 |  |  |
|---|---|---|
| Mr. Tuffa Said (MS @ UNF) | Mr. Cesar Castellon Escobar (MS @ UNF) | Mr. Jeffery Wolbert (MS @ UNF) |
Contact
Dr. Ayan Dutta (Email: a dot dutta at unf dot edu)
