Description:

This project will develop a system to monitor the changes of plant growing. We have a working version that detects target, which is tomato, and measures its size and volume. May need to train Deep Neural Network (DNN) models to improve the accuracy of existing methods, detect disease and measure its ripeness. We will finally estimate their harvesting timing and let farmers know. All necessary devices will be provided.

This project includes to:

• start from the current working version including detection and size measurement,
• improve the performance if needed,
• detect disease,
• measure the ripeness, and
• estimate the harvesting timing.

Project scope will be decided after the meeting with supervisors. You will bring to the role a passion for research and engineering, excellent computing skills (including a high level of programming ability), and a strong sense of responsibility. It will be better if you have an experience on vision processing and/or using DNN.

Type:

Undergraduate

Outcome:

Prerequisites

None

Specialisations

• Computer Systems Engineering
• Electrical and Electronic Engineering
• Software Engineering

Categories

• AI & Machine learning
• Image & Voice Processing
• Robotics

Supervisor

• Ho Seok Ahn

Co-supervisor

• Trevor Gee

Team

• Do Jun Kwon
• Kim Zuo

Lab

Robotics (405.652, Lab)