Computer Vision and Artificial Intelligence in Precision Agriculture: Real-World Field Cases

The talk will present two real-world developments currently in use. The first is a module that captures images in real time to detect people in the working area and trigger an alarm that allows immediate operation shutdown. The second is a platform based on field-captured video that estimates plot-level crop yield, detects fruit size, and calculates the number of fruits per detected tree.