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LASSR: Effective Super-Resolution Method for Plant Disease Diagnosis
Quan Huu Cap, Hiroki Tani, Hiroyuki Uga +2
The collection of high-resolution training data is crucial in building robust plant disease diagnosis systems, since such data have a significant impact on diagnostic performance.…
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis
Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada +1
Many applications for the automated diagnosis of plant disease have been developed based on the success of deep learning techniques. However, these applications often suffer from o…
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis
Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada +2
In image-based plant diagnosis, clues related to diagnosis are often unclear, and the other factors such as image backgrounds often have a significant impact on the final decision.…
A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images
Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani +3
Practical automated detection and diagnosis of plant disease from wide-angle images (i.e. in-field images containing multiple leaves using a fixed-position camera) is a very import…