Abstract Cyber-Physical Systems (CPSs) account for technical devices with both sensing and reasoning abilities. Our interest here is in classifying time series of sensory data by […]
Abstract Machine vision for precision agriculture has attracted considerable research interest in recent years. The aim of this paper is to review the most recent work […]
Abstract This paper investigates the performance of Local Binary Patterns variants in grape segmentation for autonomous agricultural robots, namely Agrobots, applied to viniculture and winery. Robust […]
AMA LAB presented the Evtar and Koiro3E projects at the “1st Internal Conference of Research and Innovation” of DiPaE, which was organized in Thermi, Thessaloniki. Below […]
AUTHORS: E. Mavridou, E. Vrochidou, G. A. Papakostas, T. Pachidis and V. G. Kaburlasos Abstract: Machine vision for precision agriculture has attracted considerable research interest in recent […]
E.V. Badeka, T. Kalampokas, K. Tziridis, A.P. Nikolaou, E. Vrochidou, E. Mavridou, G.A. Papakostas and T. Pachidis, “Grapes Visual Segmentation for Harvesting Robots Using Local Texture […]
V. G. Kaburlasos, E. Vrochidou, F. Panagiotopoulos, Ch. Aitsidis, A. Jaki, “Time Series Classification in Cyber-Physical System Applications by Intervals’ Numbers Techniques”, The International Conference on […]
Abstract This paper aims to study the segmentation demands of vineyard images using Convolutional Neural Networks (CNNs). To this end, eleven CNN models able to provide […]