Thijs Defraeye

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Professor (part-time)

Wageningen University & Research

Netherlands

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Thijs Defraeye is a part-time Professor at Wageningen University & Research in the Netherlands. His research focuses on food technology and supply chain optimization, with recent articles examining the effects of various factors on cargo temperature in refrigerated transport, as well as the application of machine learning in cropland mapping. He is also involved in studies related to postharvest storage solutions and benchmarking machine learning methods for agricultural data.

Recent Grants

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Smart Strawberry Chain

Open Date: 2023-01-01

Close Date: 2025-12-01

Grant: Close

Multiscale mapping of the fruit's lifecycle from flower to fork by physics-based digital twins

Open Date: 2022-03-01

Close Date: 2026-02-01

Grant: Close

How fruit & vegetables preserve at home or at your retailer? An answer given by physics-based digital twins

Open Date: 2021-03-01

Close Date: 2022-08-01

Grant: Close

Digital human avatars help tailor transdermal pain management

Open Date: 2021-01-01

Close Date: 2023-12-01

Grant: Close

Your Virtual Cold Chain Assistant

Open Date: 2021-01-01

Close Date: 2022-12-01

Thijs Defraeye

Research Interests

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About

Recent Grants

Articles (15)

Mapping the most effective measures to optimize carrot slice tray drying using physics-based and Monte Carlo simulations

The impact of food type, wall-loading of pallets, and chute length on cargo temperature heterogeneity of refrigerated trailers

A Closer Look at Benchmarking Self-supervised Pre-training with Image Classification

Evaluating the role of training data origin for country-scale cropland mapping in data-scarce regions: A case study of Nigeria

The virtual container: Physics-based simulation of refrigerated container map temperature and fruit quality evolution and variability in a shipment

Digital twins for selecting the optimal ventilated strawberry packaging based on the unique hygrothermal conditions of a shipment from farm to retailer

Using machine learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan region

Perspectives on the evolution of reefer containers for transporting fresh produce

Bottlenecks in Nigeria's fresh food supply chain: What is the way forward?

Passive evaporative coolers for postharvest storage of fruit and vegetables: Where to best deploy them and how well do they perform

Developing of biophysical food for monitoring postharvest supply chains for avocado and potato and deploying of biophysical apple

Physics-driven digital twins to quantify the impact of pre- and postharvest variability on the end quality evolution of orange fruit

Optimizing the postharvest supply chain of imported fresh produce with physics-based digital twins

Combining experiments and mechanistic modeling to compare ventilated packaging types for strawberries from farm to retailer

Digital twins enable the quantification of the trade-offs in maintaining citrus quality and marketability in the refrigerated supply chain

Collaborators (4)

Kanaha Shoji

Michele Volpi

Barbara Sturm

Deniz Turan

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