Agricultural Remote Sensing

Catalog description

Credits 3. 3 Lecture Hours. Remote sensing principles and their applications in agriculture; identification and utilization of various remote sensing technologies and platforms, including satellites, unmanned aerial systems, and proximal sensors; application of remote sensing in crop monitoring, yield prediction, precision farming, soil health assessment, irrigation management, and pest detection; methods for acquiring and processing remote sensing data. Prerequisite: Junior or senior classification or approval of instructor.