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Journal Articles
- 2024
[j4]Ryosuke Wayama, Yuki Sasaki, Satoshi Kagiwada
, Nobusuke Iwasaki, Hitoshi Iyatomi:
Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework. Comput. Electron. Agric. 222: 109021 (2024)- 2023
- [j3]Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi:
Towards robust plant disease diagnosis with hard-sample re-mining strategy. Comput. Electron. Agric. 215: 108375 (2023) - 2022
- [j2]Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. IEEE Trans Autom. Sci. Eng. 19(2): 1258-1267 (2022) - 2021
- [j1]Quan Huu Cap, Hiroki Tani, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi:
LASSR: Effective super-resolution method for plant disease diagnosis. Comput. Electron. Agric. 187: 106271 (2021)
Conference and Workshop Papers
- 2019
- [c6]Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi:
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. IEEE BigData 2019: 5177-5182 - [c5]Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images. IEEE BigData 2019: 5195-5201 - [c4]Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
Super-Resolution for Practical Automated Plant Disease Diagnosis System. CISS 2019: 1-6 - 2018
- [c3]Hiroki Tani, Ryunosuke Kotani, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi:
Diagnosis of Multiple Cucumber Infections with Convolutional Neural Networks. AIPR 2018: 1-4 - 2016
- [c2]Erika Fujita, Yusuke Kawasaki, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
Basic Investigation on a Robust and Practical Plant Diagnostic System. ICMLA 2016: 989-992 - 2015
- [c1]Yusuke Kawasaki, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
Basic Study of Automated Diagnosis of Viral Plant Diseases Using Convolutional Neural Networks. ISVC (2) 2015: 638-645
Informal and Other Publications
- 2024
- [i8]Kohei Iwano, Shogo Shibuya, Satoshi Kagiwada, Hitoshi Iyatomi:
Hierarchical Object Detection and Recognition Framework for Practical Plant Disease Diagnosis. CoRR abs/2407.17906 (2024) - [i7]Ryosuke Wayama, Yuki Sasaki, Satoshi Kagiwada, Nobusuke Iwasaki, Hitoshi Iyatomi:
Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework. CoRR abs/2407.18000 (2024) - 2023
- [i6]Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi:
Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining Strategy. CoRR abs/2309.01903 (2023) - 2020
- [i5]Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. CoRR abs/2002.10100 (2020) - [i4]Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
LASSR: Effective Super-Resolution Method for Plant Disease Diagnosis. CoRR abs/2010.06499 (2020) - 2019
- [i3]Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images. CoRR abs/1910.11506 (2019) - [i2]Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi:
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. CoRR abs/1911.10727 (2019) - [i1]Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
Super-Resolution for Practical Automated Plant Disease Diagnosis System. CoRR abs/1911.11341 (2019)
Coauthor Index
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