Erik Alexandersson

According to our database, Erik Alexandersson authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

PLLaMa: An Open-source Large Language Model for Plant Science.

Xianjun Yang, Junfeng Gao, Wenxin Xue, Erik Alexandersson

CoRR, 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.

Florent Abdelghafour, Sajeevan Radha Sivarajan, Ingi Abdelmeguid, Maxime Ryckewaert, Jean-Michel Roger, Ryad Bendoula, Erik Alexandersson

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.

Chao Qi, Murilo Sandroni, Jesper Cairo Westergaard, Ea Høegh Riis Sundmark, Merethe Bagge, Erik Alexandersson, Junfeng Gao

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.

Junfeng Gao, Wenzhi Liao, David Nuyttens, Peter Lootens, Erik Alexandersson, Jan G. Pieters

CoRR, 2022

2021

Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning.

Junfeng Gao, Jesper Cairo Westergaard, Ea Høegh Riis Sundmark, Merethe Bagge, Erland Liljeroth, Erik Alexandersson

Knowl. Based Syst., 2021

In-field early disease recognition of potato late blight based on deep learning and proximal hyperspectral imaging.

Chao Qi, Murilo Sandroni, Jesper Cairo Westergaard, Ea Høegh Riis Sundmark, Merethe Bagge, Erik Alexandersson, Junfeng Gao

CoRR, 2021