Innovating Agriculture with Technology to Enhance Food Security and Address Global Challenges
Current Projects
Ground-based Predatory Mite Releaser
Innovative Pest Management in Strawberry Production
The Smart Agriculture Lab at the University of Florida is pioneering a sustainable approach to pest management. We've developed a ground-based system that utilizes advanced computer vision and robotics to autonomously dispense predatory mites, specifically Amblyseius Swirskii, directly onto strawberry plants. This method offers a promising alternative to chemical pesticides, focusing on enhancing both efficiency and environmental sustainability.
Digital Twin & Synthetic Data
Enhancing Yield Estimation with Synthetic Data-Driven AI
The Smart Agriculture Lab at the University of Florida introduces an innovative approach using digital twin and synthetic data-driven AI to enhance strawberry yield estimation and robotics training. By merging rendered and real imaging data, we develop more efficient data acquisition methods that reduce costs and increase the scalability of agricultural AI applications.
Digital Twin and Robotics
Autonomous Runner Cutter for Strawberry Production
At the Smart Agriculture Lab, we are developing an autonomous runner cutter tailored for use in plasticulture systems. This project integrates advanced robotics, machine vision technology, and digital twin simulations to automate the runner cutting process, thereby increasing efficiency and reducing the need for manual labor.
Machine Vision System for Robotic Harvesting
Automated Mushroom Detection and Maturity Assessment System
At the Smart Agriculture Lab, we have developed a cutting-edge computer vision system that automates mushroom detection and maturity estimation using depth images. This technology aims to reduce labor dependency and optimize the harvesting process, ensuring mushrooms are picked at their peak maturity for extended shelf life.