— Introduction to Digital Agriculture

Prerequisites & course information

Course Description: Introduction to quantitative approaches for collecting, analyzing, and interpreting environmental data used in plant sciences research. Remote sensing data for estimating plant structure, function and water status, spatial and temporal aspects of data, data science and machine learning, synthesizing complex, high-dimensional data. Learning Activities: Lecture/Discussion 2 hour(s); Project. Grade Mode: Letter. General Education: Science & Engineering (SE). Learning Activities: Lecture/Discussion 2 hour(s); Project. Grade Mode: Letter. General Education: Science & Engineering (SE).