Senior Design Projects

ECS193 A/B Winter & Spring 2023

Active Vision for Agriculture

Name Taeyeong Choi
Affiliation University of California, Davis

Project's details

Project title Active Vision for Agriculture
Background N/A
Description Students working on this project will produce a large image dataset for research at the intersection of computer vision and robotics particularly in agricultural scenarios. The goal is to utilize existing plant simulation frameworks such as “Helios” and “AgML” to generate useful data for benchmarking future studies on autonomous agents in the crop fields. More specifically, the project team will work to:

- Implement an interface with “AgML” to build an automated data-generation pipeline
- Visualize examples of simulated images with corresponding semantic annotations
- Document descriptions of produced codes and data as well as environmental settings
- Communicate with collaborators in the Department of Biological and Agricultural Engineering
Deliverable - A dataset of synthesized plant images with various labels
- Comprehensive documentation of the dataset for future use in research communities
- Python program with a written manual on data generation under particular requirements
Skill set desirable - Significant programming/development skill in Python is required;
- Familiarity with data science-related tools–such as NumPy, Pandas, scikit-learn, Matplotlib, Jupyter Notebook, etc.–is a huge plus;
- Hands-on experience with machine-learning projects in computer vision is a huge plus;
- Knowledge of deep reinforcement learning or robot motion planning is a plus;
Experience with TensorFlow/PyTorch is a plus
Phone number N/A
Client time availability 30-60 min weekly or more
IP requirement Open source project
Attachment Click here
Selected N/A
Stuff N/A