EARLY DETECTION OF WHITEFLIES TO IMPROVE CROP YIELD USING YOLO V8

Supervisor:

Asst.Prof. AMITHA I C

Team Members

NIHARIKA PONNAMBATH
MUHAMMED SAHAL.AK
ANUJITH.VK
SREEREJ.M

Description

This project introduces a Whitefly Detection System built on the YOLOv8
deep learning framework.
The system employs advanced computer vision techniques to swiftly and
accurately identify whiteflies in agricultural settings.
By leveraging YOLOv8’s real-time object detection capabilities, the system
enhances pest management practices, aiding farmers in timely
interventions and promoting sustainable agriculture.