Targeted detection of plant disease infection levels using YOLOv8 and YOLOv9 for agricultural monitoring and public healthcare support

Abstract The excessive use of pesticides poses significant environmental and health risks. A real-time disease detection system can help mitigate this issue by identifying early infections and applying treatment only to affected areas. Building on the work of (P. P. Than), who conducted an exhaustiv...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Abdelkarim Lahmdani, Abdessamad Elboushaki, Sahar Saoud
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2026-02-01
Edice:	Discover Artificial Intelligence
Témata:	Deep learning Object detection YOLOv9 YOLOv8 Disease detection Precision agriculture
On-line přístup:	https://doi.org/10.1007/s44163-026-00841-z
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!