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Researcher
Astrid Tempelaere
- Disciplines:Agrofood mechatronics
Affiliations
- Mechatronics, Biostatistics and Sensors (MeBioS) (Division)
Member
From1 Sep 2020 → Today
Projects
1 - 1 of 1
- Non-destructive internal quality inspection of apple fruit by X-ray imaging and deep learningFrom29 Jul 2020 → TodayFunding: FWO Strategic Basic Research Grant
Publications
1 - 6 of 6
- An introduction to artificial intelligence in machine vision for postharvest detection of disorders in horticultural products(2023)
Authors: Astrid Tempelaere, Bart De Ketelaere, Ioannis Kalfas, Michiel Pieters, Wouter Saeys, Leen Van Doorselaer, Pieter Verboven, Bart Nicolai
- BraeNet: Internal disorder detection in ‘Braeburn’ apple using X-ray imaging data(2023)
Authors: Astrid Tempelaere, Leen Van Doorselaer, Pieter Verboven, Bart Nicolai
- Non-destructive internal disorder segmentation in pear fruit by X-ray radiography and AI(2023)
Authors: Astrid Tempelaere, Hoang Minh Phan, Pieter Verboven, Bart Nicolai
- Synthetic data for X-ray CT of healthy and disordered pear fruit using deep learning(2023)
Authors: Astrid Tempelaere, Tinne Tuytelaars, Bart Nicolai
- Influence of different origins, CA storage conditions and storage times on internal browning in apple and pear cultivars(2023)
Authors: Astrid Tempelaere, Leen Van Doorselaer, Michiel Pieters, Pieter Verboven, Bart Nicolai
Pages: 213 - 220 - Inline nondestructive internal disorder detection in pear fruit using explainable deep anomaly detection on X-ray images(2022)
Authors: Astrid Tempelaere, Pieter Verboven, Tinne Tuytelaars, Bart Nicolai