Upper limit for context–based crop classification in robotic weeding applications

Information Fusion for Autonomous Robotic Weeding

Information fusion has a potential applicability to a multitude of different applications. Still, the JDL model is mostly used to describe defense applications. This paper describes the information fusion process for a robot removing weed in a field. We analyze the robotic system by relating it to the JDL model functions. The civilian application we consider here has some properties which diffe...

Positioning an Innovative Flame-weeding Technology Into Crop Production

Genetic Tuner for Image Classification with Robotic Applications

This paper introduces a genetic tuner implemented for optimizing the image scene analysis prior to the grasping of the objects, to realize a concrete working robot named COERSU. Firstly, different architectures of the adaptive neuro-fuzzy inference system, multi-layer perceptron and K-nearest neighborhood classifiers are compared to perform scene analysis and object recognition. Following on, t...

Classification of encrypted traffic for applications based on statistical features

Traffic classification plays an important role in many aspects of network management such as identifying type of the transferred data, detection of malware applications, applying policies to restrict network accesses and so on. Basic methods in this field were using some obvious traffic features like port number and protocol type to classify the traffic type. However, recent changes in applicat...

Expanding indications in robotic upper renal tract surgery: The sky's the limit

With over 4,000 da Vinci robotic systems in operation throughout the world performing mainly prostate and gynaecological surgery there seems to be plenty of capacity and opportunity to expand robotic indications even further. Whilst robotic partial nephrectomy (RPN) has become an established technique in many centres there remains some reluctance to use this technology across the wider spectrum...