ANVESHAN
Exploring the Frontiers of AI and Machine Learning
Exploring the Frontiers of AI and Machine Learning
Project Name :
Identification and Detection of Leaf Miner, Pests Infestation in Cucurbitaceae Family
in Real Time Infield Scenarios using YOLOv5s Object Detection Model
Description :
In the realm of precision agriculture, this study introduces a YOLOv5s-based
model that achieves impressive F1 scores and mAP. The model’s strength lies in its ability to
simultaneously detect various disease occurrences across different leaves in wax gourd plants. Operating
in real-time infield conditions, it targets pests and leaf miner infections at various growth stages.
The extensive and diverse dataset ensures robustness and generalizability, making it a valuable computer
vision tool for precision agriculture
