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)

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)

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)

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., 2023)

Including measurement effects and temporal variations in VIS-NIRS models to improve early detection of plant disease: Application to Alternaria solani in potatoes. - Florent Abdelghafour; Sajeevan Radha Sivarajan; Ingi Abdelmeguid; Maxime Ryckewaert; Jean-Michel Roger; Ryad Bendoula; Erik Alexandersson (Comput. Electron. Agric., 2023)

PLLaMa: An Open-source Large Language Model for Plant Science. - Xianjun Yang; Junfeng Gao; Wenxin Xue; Erik Alexandersson (CoRR, 2024)

Cross-domain transfer learning for weed segmentation and mapping in precision farming using ground and UAV images. - Junfeng Gao; Wenzhi Liao; David Nuyttens; Peter Lootens; Wenxin Xue; Erik Alexandersson; Jan G. Pieters (Expert Syst. Appl., 2024)