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Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Learning Petri net models from sensor data of conveying systems based on the merging of prefix and postfix trees
New active learning algorithms for near-infrared spectroscopy in agricultural applications
Smart agriculture. Editorial
Soil monitoring for precision farming using hyperspectral remote sensing and soil sensors
Migrationskonzept zur Einführung von Ethernet TSN in die Feldebene
Modular and scalable automation for field robots
DecaWave ultra-wideband warm-up error correction
An approach for Industrie 4.0-compliant and data-sovereign Digital Twins
Optimal multispectral sensor confgurations through machine learning for cognitive agriculture
Grundlagen des Maschinellen Lernens
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