Robotics Commons^™

Specially Designed Multi-Functional Search And Rescue Robot, Khabibullo Kh Nosirov, A.Sh. Shakhobiddinov, Mukhriddin Arabboev, Shohruh Begmatov, O.T. Togaev

Bulletin of TUIT: Management and Communication Technologies

In digital era, robots are becoming an integral part of human life due to their efficiency and high performance. In recent years, search and rescue robot systems are used tremendously in a natural disaster. Nowadays, many areas of the world are getting affected due to natural disasters. Disasters can be exceptional and unstoppable events that are either man-made or natural, such as building collapse, earthquakes, wildfires, and floods, etc. This witnesses the importance of search and rescue robot systems in the emergency field. In the emergency field, a variety of sensing and wireless technologies are used in remote and vision …

Application Of Advanced Algorithms And Statistical Techniques For Weed-Plant Discrimination, Saman Akbar Zadeh

Theses: Doctorates and Masters

Precision agriculture requires automated systems for weed detection as weeds compete with the crop for water, nutrients, and light. The purpose of this study is to investigate the use of machine learning methods to classify weeds/crops in agriculture. Statistical methods, support vector machines, convolutional neural networks (CNNs) are introduced, investigated and optimized as classifiers to provide high accuracy at high vehicular speed for weed detection.

Initially, Support Vector Machine (SVM) algorithms are developed for weed-crop discrimination and their accuracies are compared with a conventional data-aggregation method based on the evaluation of discrete Normalised Difference Vegetation Indices (NDVIs) at two different …