Erik Alexandersson
Orcid: 0000-0001-6320-2492
According to our database1,
Erik Alexandersson
authored at least 7 papers
between 2021 and 2024.
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Bibliography
2024
Cross-domain transfer learning for weed segmentation and mapping in precision farming using ground and UAV images.
Expert Syst. Appl., 2024
2023
Including measurement effects and temporal variations in VIS-NIRS models to improve early detection of plant disease: Application to <i>Alternaria solani</i> in potatoes.
Comput. Electron. Agric., August, 2023
In-field classification of the asymptomatic biotrophic phase of potato late blight based on deep learning and proximal hyperspectral imaging.
Comput. Electron. Agric., February, 2023
2022
Transferring learned patterns from ground-based field imagery to predict UAV-based imagery for crop and weed semantic segmentation in precision crop farming.
CoRR, 2022
2021
Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning.
Knowl. Based Syst., 2021
In-field early disease recognition of potato late blight based on deep learning and proximal hyperspectral imaging.
CoRR, 2021