ALS 5984-21396 High-Throughput Phenotyping in Agriculture

Spring 2021


Time and Location

Course Description

This course will cover the application of computer vision to plant and animal sciences. Smart agriculture is innovative technology that integrates advances in engineering and computer science into agriculture to optimize production while ensuring sustainability. In particular, the use of image-based high-throughput phenotyping technologies enables us to collect a large number of phenotypes in an automated fashion with less human labor and reduced costs, and evaluate phenotypes that were previously difficult to be measured manually. We will discuss the most recent high-throughput phenotyping technologies that can be used in agriculture. The course will combine instructions and hands-on plant and animal phenotypic data analysis. You will be provided with Python or GNU Octave image processing scripts and learn how to apply them to image data.

Learning Objectives

After taking this course, the student will be able to:

Texts and Reading Materials

Lecture slides will be provided on the class website. There will be no required textbook.



Lectures will be delivered via Zoom.