Precision AI – Agronomy Data Labelling and Testing

Agronomy interns would be important members of our growing agronomy AI team. Precision AI now needs more agronomy expertise to achieve our growth objectives. The interns will help us accelerate our artificial intelligence model development by applying their expertise to more quickly identify crop and weed plants in the images we have collected. They will also be able to accelerate our AI performance testing. Two interns would focus on the agronomic aspects of field testing the technology. One intern would support our AI team with the work of annotating plant images for machine learning.
This work will support the creation and commercialization of Precision AI’s proproprietary technology and IP.It will contribute improving the speed and accuracy of the processes. This work will also contribute to the work that we are planning to launch in the United States.
In the short term, this work will help reduce the input costs of farmers. In the longer term, the project will contributed to the reduction of chemicals in the environment and food supply.

Faculty Supervisor:

Chris Willenborg

Student:

Partner:

Precision AI

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Saskatchewan

Program: