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

Dit document presenteert een nieuw, op gedrag gebaseerd kader voor het verbeteren van de implementatie van regionale innovatiestrategieën voor slimme specialisatie (RIS3) door kunstmatige intelligentie (AI) te integreren met duurzaam alliantiebeheer. Op basis van vergelijkende casestudy's uit Noord-Nederland, …

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 …

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

Agriculture and horticulture are essential for ensuring safe food to the growing global population, but they also contribute significantly to climate change and biodiversity loss due to the extensive use of chemicals. Integrated pest management is currently employed to monitor and control pest populations, …

Our current smart society, where problems and frictions are smoothed out with smart, often invisi ble technology like AI and smart sensors, calls for designers who unravel and open the smart fabric. Societies are not malleable, and moreover, a smooth society without rough edges is neither desirable …

Consistency issues limit the sharing of horticultural data across multiple systems, resulting in challenges for users to analyze data effectively across various systems utilizing artificial intelligence technology. Introducing data governance principles can help standardize and unify data practices, …

In dit onderzoek is gekeken naar voorbeelden uit de literatuur vanuit verschillende gezondheidsdisciplines. Verschillende studies pasten machine learning (vaak deep learning) toe voor de vroegdetectie van ziekten op basis van beschikbare data uit het elektronisch patiëntendossier (EPD). Het bleek dat …