This study presents an automated method for detecting and measuring the apex head thickness of tomato plants, a critical phenotypic trait associated with plant health, fruit development, and yield forecasting. Due to the apex's sensitivity to physical contact, non-invasive monitoring is essential. This …

This study shows dentists' perception of AI in the Netherlands and the reasons why they use or do not use AI yet

Introduction Recording sap flow in plants is essential to understanding water usage, especially for herbaceous species like tomatoes. While plant physiology research has progressed, there remains a gap in applying sap flow sensor data to these species. In this study, the predictive capabilities of Recurrent …

Presentatie tijdens de International Conference for Research in Music Education

3D lithography by two-photon photopolymerization enables the fabrication of complex microstructures that incorporate nanomaterials assembled in a controlled manner. This technology holds promise in various fields such as optics, photonics, biology, and nanomedicine. It is also being used in the renewable …

The focus of this deep-dive, facilitated by the ESF-staff, is on digital tooling to design PEDs, to predict and control the energy flows in a PED and to monitor PEDs and evaluate their effectiveness. All this to accelarete PED development in relation to the Mission of 100 climate-neutral and smart cities …

Als onderdeel van het halfjaarlijks KCNR symposium is vanuit het lectoraat Leefomgeving in Transitie een ochtendworkshop georganiseerd onder de titel 'Stem van de natuur'

This review aimed to map the clinical readiness of artificial intelligence investigations focused on preventive dentistry.