School of Science and Technology

RGB-D Analysis of Plant Growth

Motivation and Scope

The goal of this project is to create growth curves of different plant paths based on timelapse imagery derived from RGB-D cameras. Automated tracking of the growth of plants is an important research topic and there has been considerable effort in deriving the key building blocks of such a system. However, there is no existing application that provides an end-to-end working system.

Specific Tasks:

This project will develop a pipeline for processing camera and/or RGB-D timelapse data from plants in a greenhouse to create growth curves. The pipeline will be tested and evaluated on existing RGB-D plant datasets.

Necessary Skills:

Good programming skills, with knowledge of Python being an advantage. An understanding of computer vision and image processing is also an advantage.

Benefits:

Experience with programming, computer vision, and 3D data analysis in an essential industry sector which is rapidly innovating and automating.

Contact

Stephanie Lowry and Polina Kurtser