Detection of predatory insects that attack bees in beehives using deep models

Abstract

Bees play an important role in many fields,not just in agriculture.However,in the past years the number of bees has experienced a serious decrease.There are many factors that contributed in that,among the main ones being predatory insects that kill bees and destroy their hives.This thesis aims to develop a YOLO model capable of detecting those insects.The model is intended to be deployed in a real time intelligent insect detection system that comes with a 360-degree rotating camera.Only the design is covered in this study not real-world deployment.By using deep learning techniques,this work seeks to help in creating an automated and efficient moni toring system to protect honey bees.