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.
|Dr. Ayan Dutta (UNF)||Dr. Swapnoneel Roy (UNF)||Dr. Patrick Kreidl (UNF)||Dr. Ladislau Bölöni (UCF)|
|Mr. Cesar Castellon Escobar |
(MS @ UNF)
|Mr. Siavash Khodadadeh|
(Ph.D. @ UCF)
|Mr. Tamim Samman|
(MS @ UNF)
|Mr. James Spearman
(BS @ UNF)
- A. Dutta, O. P. Kreidl, and J. O’Kane, “Opportunistic Multi-robot Environmental Sampling via Decentralized Markov Decision Processes”, 15th International Symposium On Distributed Autonomous Robotics Systems (DARS), 2021.
- M. Pugliese, A. Flowers, M. Tapia, and O.P. Kreidl, “Garduino: Using Image Processing in Matlab to detect health in plants,” Annual Conference of the National Council on Undergraduate Research (NCUR2021), Apr 2021.
Dr. Ayan Dutta (Email: a dot dutta at unf dot edu)