Showing 2026Show all
3 papers · 1 filter
cs.CV2026
A Multi-Dataset Benchmark of YOLO-Based Weed Detection in Precision Agriculture
Hristina Zdraveska, Vlatko Spasev, Ivica Dimitrovski +2
Weed detection is an important component of precision agriculture, enabling site-specific weed management and reducing unnecessary herbicide use. Although deep learning methods hav…
cs.CV2026
Towards Practical Precision Agriculture: Real-Time Fruit Detection and Video Analytics on Embedded Edge Hardware
Ivica Dimitrovski, Vlatko Spasev, Ivan Kitanovski +2
Static-image benchmarks do not capture the computational and temporal requirements of practical orchard video analytics. This study presents an end-to-end framework for real-time f…
cs.CV2026
A Dataset-Centric Benchmark of Deep Learning Methods for Grape Leaf Disease Classification and Detection
Petar Canoski, Vlatko Spasev, Ivica Dimitrovski +2
Grape leaf disease recognition is important for precision agriculture, enabling early diagnosis, timely intervention, and improved vineyard management. Although deep learning has a…