An enhanced and light weight YOLOv8 based model for accurate rice pest detection
Project Code :TEMBMA3698
Objective
The main objectives of this project are to develop an enhanced and lightweight YOLOv8-based model for accurate detection of rice pests in real time.It aims to improve detection speed and precision while remaining suitable for deployment on low-resource edge devices.This approach supports early pest identification, reducing crop damage and aiding timely pest control measures in rice farming.
Related Topics
Paper Publishing
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