425 citations · 956 across the 28 of their papers we have counts for
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cs.CV2019
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.…
cs.CV2019
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…