Crop growth models play a crucial role in agriculture as they help to understand how crops grow and thrive. They allow farmers to predict how much harvest they can expect, which is important when planning, storing, and ...

Formal grammars are well suited for the estimation of models with an a-priori unknown number of parameters such as buildings and have proven their worth for 3D modeling and reconstruction of cities. However, the generation ...

Extreme climate phenomena like droughts can lead to a shortage of available water resources that in turn can cause serious consequences such as famines. Monitoring of extremes is extremely important, and past research ...

Associating interesting phenotypic traits with causal genes and elucidating the underlying gene functional relationships is of great importance to crop breeding and improvement efforts. To this end, the research presented ...

Robotic systems have the potential to revolutionize operations in environments that are too dangerous, intricate, or demanding for humans. These environments pose notable challenges due to their dynamic and often unpredictable ...

Autonomous robots and vehicles are often equipped with multiple sensors to perform vital tasks such as localization or mapping. The joint system of various sensors with different sensing modalities can often provide better ...

Die vorliegende Arbeit befaßt sich mit den methodischen Problemen, die bei der Erstellung von Unkrautverteilungskarten mit Geoinformationssystemen (GIS) auftreten können. Im Vordergrund steht dabei die Frage nach der ...

We propose an innovative machine learning algorithm called incremental import vector machines that is used for classification purposes. The classifier is specifically designed for the task of sequential learning, in which ...

3D building models are nowadays an important prerequisite for many applications such as rescue management or navigation tasks. However, most approaches for the automatic reconstruction of buildings rely on high-resolution ...

Robots increasingly automate tasks that require costly and precise measurements at scale. Combining advances in hardware development with recent progress in machine learning-based computer vision enables robots to collect ...