High-Throughput phenotyping of cotton plants

Phenotype measurements of a cotton plant (such as height and of number of cotton bolls) are currently carried out by hand. This project's goal is to allow for automatic detection and measurement of those features. To accomplish its goals, the project implements image processing and machine learning techniques. The images are captured by cameras mounted on a robot:

Robot model for scanning cotton plants 

The video below demonstrates the robot in action:

The picture below showcases the different imaging techniques utilized to detect individual fruits of the cotton plants:

Sponsor/Partner: Department of Plant and Soil Science & Bayer CropScience

 

Videos

This is a video showing real-time detection of ripe cotton plants as live feed is being captured by a moving camera.

This video showcases live feed being acquired as X-ray and performing fruit detection in the X-ray frames.