105 citations · 127 across the 10 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series
Ivica Dimitrovski, Ivan Kitanovski, Danco Davcev +2
Accurate early warning of vineyard disease risk from environmental observations is essential for timely intervention and more sustainable crop protection. However, many existing st…
NeuroVLM-Bench: Evaluation of Vision-Enabled Large Language Models for Clinical Reasoning in Neurological Disorders
Katarina Trojachanec Dineva, Stefan Andonov, Ilinka Ivanoska +5
Recent advances in multimodal large language models enable new possibilities for image-based decision support. However, their reliability and operational trade-offs in neuroimaging…