Timeframe:
Fall 2020 – Present
Students:
Mahbubur Rahman
Faculty in Collaboration:
Dr. Hong-Gu Kang, Dr. Bill Stapleton
Overview:
This research proposes a novel structure to compute these resistance luminescence traits. Computer vision techniques, particularly image processing will be used to calculate the statistical values from each luminescent image. Masked R-CNN architecture will be used to count the number of leaves and plants. image segmentation will be employed to identify the luminescent traits
Stages
Phase 1:
1. Collecting Data
2. Literature Review
3. Proposal has been presented
4. Initial experimentation
Publications:
- Working towards it
Thesis:
- Working towards it
