4 Courses
From Pixels to Production: Applying Computer Vision in Agri-Food
This module introduces the fundamentals of computer vision (CV) and its applications in agriculture and food systems. You'll gain an overview of core concepts such as image processing, pattern recognition, and feature extraction, and understand how CV enables machines to interpret visual data.
We’ll explore various imaging types and their practical use in crop health monitoring, disease detection, and yield prediction. A case study on hyperspectral satellite imagery demonstrates its impact on precision agriculture and environmental monitoring.
The module also covers object detection and robotics, showing how CV powers technologies like autonomous weeding, spraying, and livestock tracking. We'll discuss both the benefits and challenges of integrating CV in agri-food operations.
