Date of Presentation
4-23-2024 1:00 PM
College
College of Science & Mathematics
Faculty Sponsor(s)
Dr. Hieu D. Nguyen
Poster Abstract
This project seeks to assist blueberry growers in New Jersey estimate crop yield by developing software that allows autonomous drones to capture aerial images of blueberry bushes in the field, perform berry count, and identify blueberry conditions using deep learning models & computer vision.
Student Keywords
Blueberry Drone Artificial Intelligence (AI), Crop Yield, Deep Learning, Smart Drones
Disciplines
Mathematics
Document Type
Poster
Included in
Blueberry Drone AI: Estimating Crop Yield using Deep Learning & Smart Drones
This project seeks to assist blueberry growers in New Jersey estimate crop yield by developing software that allows autonomous drones to capture aerial images of blueberry bushes in the field, perform berry count, and identify blueberry conditions using deep learning models & computer vision.