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Jana wieme
Jana wieme
PhD student - FWO, Ghent University, ILVO
Verified email at ugent.be
Title
Cited by
Cited by
Year
Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms: A review
J Wieme, K Mollazade, I Malounas, M Zude-Sasse, M Zhao, A Gowen, ...
biosystems engineering 222, 156-176, 2022
622022
Identifying the Optimal Radiometric Calibration Method for UAV-Based Multispectral Imaging
L Daniels, E Eeckhout, J Wieme, Y Dejaegher, K Audenaert, WH Maes
Remote Sensing 15 (11), 2909, 2023
102023
Ultra-High-Resolution UAV-Based Detection of Alternaria solani Infections in Potato Fields
R Van De Vijver, K Mertens, K Heungens, D Nuyttens, J Wieme, WH Maes, ...
Remote Sensing 14 (24), 6232, 2022
102022
Supervised detection of Alternaria solani on ultra-high-resolution modified RGB UAV images
J Wieme, S Leroux, S Cool, J Pieters, W Maes
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIV 12262, 122-129, 2022
12022
Ultra-high-resolution UAV-imaging and supervised deep learning for accurate detection of Alternaria solani in potato fields
J Wieme, S Leroux, SR Cool, J Van Beek, JG Pieters, WH Maes
Frontiers in Plant Science 15, 1206998, 2024
2024
Ultra-high-resolution modified RGB UAV-imaging of Alternaria solani
J Wieme, S Leroux, SR Cool, J Van Beek, J Pieters, W Maes
Zenodo, 2024
2024
Real-time and task map precision spray applications for weeds and diseases: Use cases developed at ILVO Living Lab Agrifood Technology
A Willekens, J Wieme, R Van De Vijver, J Van Beek, J Windels, ...
Targeted Application, Spray Technology and Authorisation Workshop, 23, 2023
2023
Efficient Detection of Colorado Potato Beetles in Ultra-High-Resolution UAV-Imaging of Potato Fields using Convolutional Neural Networks
J Wieme, R Mortier, S Leroux, S Cool, J Pieters, W Maes
Computervisie voor precisielandbouw
J Wieme
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Articles 1–9