Date of Presentation

4-23-2024 9:00 AM

College

College of Science & Mathematics

Faculty Sponsor(s)

Dr. Hieu Nguyen

Poster Abstract

This project seeks to assist blueberry growers in New Jersey with preventing blueberry scorch disease. Plants can’t be cured of scorch, so they have to be removed to prevent the disease from spreading to other bushes. This project aims to use object detection and classifier machine learning models in order to detect scorch disease with photos from intelligent drones. Images are first tiled, then processed through and convolutional neural network that detects scorch symptoms. Lastly, a fully connected neural network is implemented to make a final prediction.

Student Keywords

Blueberry Drone AI, Smart Farming of Blueberries, Artificial Intelligence, Autonomous Drones

Disciplines

Computer Sciences | Mathematics

Document Type

Poster

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Apr 23rd, 9:00 AM

Blueberry Drone AI: Smart Farming of Blueberries using Artificial Intelligence and Autonomous Drones

This project seeks to assist blueberry growers in New Jersey with preventing blueberry scorch disease. Plants can’t be cured of scorch, so they have to be removed to prevent the disease from spreading to other bushes. This project aims to use object detection and classifier machine learning models in order to detect scorch disease with photos from intelligent drones. Images are first tiled, then processed through and convolutional neural network that detects scorch symptoms. Lastly, a fully connected neural network is implemented to make a final prediction.