Abstract: This research aims to develop an automated pest classification system using machine learning techniques. The study utilized a dataset of 6,444 images containing 17 different types of pests.
Abstract: The Smart Automated Zebra Crossing System operationalizes Passive Infrared (PIR) sensors and Internet of Things (IoT) technology with IP camera-based headcount capabilities to foster ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback