Artificial Intelligence

Precision Agriculture: Blueberry crop count using autonomous drones

About this project:

This project seeks to employ deep learning to perform blueberry crop count and disease detection using autonomous drones controlled by AI.

Goals

1. Build accurate deep learning models to count fruit and detect disease of blueberry bushes using aerial drone images.

CURRENT PROJECT MEMBERS:
Brandon McHenry
Harper Zappone
Anthony Thompson
Nico Kaegi
Alex Day (Pennsauken High School)
Bang Diem (Pennsauken High School)
Dr. Hieu Nguyen (since December 2020)
Dr. Thanh Nguyen

PAST PROJECT MEMBERS
Felix Hakimi
Chau Tran
Brian Kim
Carter Profico
Duy Nguyen
Logan Endes (Pennsauken High School)

COLLABORATORS
Influential Drones (Marlton, NJ)
Moore's Farm (Lumberton, NJ)
Macrie's Farm (Hammonton, NJ)
Haines Farm (Lumberton, NJ)
Piney Hollow Farm (Williamstown, NJ)

CONTACT INFORMATION:
Please email Hieu Nguyen (Rowan University) at nguyen@rowan.edu if you would like to learn more about this project.