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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
An approach for Industrie 4.0-compliant and data-sovereign Digital Twins
An intelligent management system for aquaponics
Predictive tracking with improved motion models for optical belt sorting
New active learning algorithms for near-infrared spectroscopy in agricultural applications
Optimal multispectral sensor confgurations through machine learning for cognitive agriculture
DecaWave ultra-wideband warm-up error correction
Migrationskonzept zur Einführung von Ethernet TSN in die Feldebene
Modular and scalable automation for field robots
Soil monitoring for precision farming using hyperspectral remote sensing and soil sensors