Abstract In the past few decades, new technologies have entered the agricultural fields providing means of effectively managing vineyards, improving production quality and minimizing resources, while […]
Abstract In recent years, there has been an increasing integration of high technology in the execution of agricultural tasks towards improving the quality of the produced […]
Abstract The automation of agricultural production calls for accurate prediction of the harvest time. Our interest in particular here is in grape harvest time. Nevertheless, the […]
Abstract Robots are increasingly entering agricultural fields to support human labor. Heavy tasks like harvesting are assigned to robots due to their advanced modularity, robustness and […]
Abstract Robotic manipulators are widely used in many robotic systems, due to their speed, precision and robustness to perform a variety of tasks sometimes better and […]
Abstract Fast and accurate algorithms for object detection allow robotic systems to real-time process scene information identically to the human visual system. The robotic system of […]
AUTHORS: T. Kalampokas, K. Tziridis, A. Nikolaou, E. Vrochidou, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos. Abstract This paper aims to study the segmentation demands […]
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 […]