As a FFAR Fellow at Auburn University’s Precision Agriculture Lab, my research is focused on harnessing AI-powered systems and robotic technologies to optimize agricultural practices and tackle the industry’s labor challenges. By developing solutions that automate tasks and provide farmers with real-time data, we are enabling smarter decision-making. This approach not only enhances resource management but also reduces reliance on manual labor, allowing workers to shift from routine tasks to higher-level responsibilities. Our work aims to make farming more efficient, sustainable and worker-friendly, providing a foundation for a technologically advanced agricultural future.
My primary project involves developing a dynamic smart inventory system (NurseryBot) for autonomous plant counting and quality assessment in nurseries. Accurate plant counting is essential for efficient nursery management; manual methods are time-consuming, labor-intensive and prone to inaccuracies, often leading to worker fatigue and health concerns. To solve this, I am designing an automated system that employs multi-camera imaging and deep learning algorithms to detect and assess plants even in complex, congested environments. The goal is a fully functional, field-tested prototype that can accurately monitor diverse plant species and improve management decisions in real nursery conditions.
Precision Agriculture Lab team working on the development of the NurseryBot system.