Real-Time Strawberry Ripeness Classification and Counting: An Optimized YOLOv8s Framework with Class-Aware Multi-Object Tracking

Accurate fruit counting is crucial for data-driven decision-making in modern precision agriculture. In strawberry cultivation, a labor-intensive sector, automated, scalable yield estimation is especially critical. However, dense foliage, variable lighting, visual ambiguity of ripeness stages, and fr...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Oluwasegun Moses Ogundele, Niraj Tamrakar, Jung-Hoo Kook, Sang-Min Kim, Jeong-In Choi, Sijan Karki, Timothy Denen Akpenpuun, Hyeon Tae Kim
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2025-09-01
סדרה:	Agriculture
נושאים:	multi-object tracking occlusion strawberry detection YOLOv8s yield estimation
גישה מקוונת:	https://www.mdpi.com/2077-0472/15/18/1906
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!