Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning. Gao, J., Westergaard, J. C., Sundmark, E. H. R., Bagge, M., Liljeroth, E., & Alexandersson, E. Knowledge-Based Systems, 214:106723, Elsevier BV, February, 2021.
Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning [link]Paper  doi  bibtex   
@article{gqvt8t,
 author = {Gao, Junfeng and Westergaard, Jesper Cairo and Sundmark, Ea Høegh Riis and Bagge, Merethe and Liljeroth, Erland and Alexandersson, Erik},
 doi = {10.1016/j.knosys.2020.106723},
 issn = {0950-7051},
 journal = {Knowledge-Based Systems},
 link = {https://doi.org/10.1016/j.knosys.2020.106723},
 month = {February},
 pages = {106723},
 publisher = {Elsevier BV},
 title = {Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning},
 url = {http://dx.doi.org/10.1016/j.knosys.2020.106723},
 volume = {214},
 year = {2021}
}

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