Satoshi Kagiwada

According to our database, Satoshi Kagiwada authored at least 11 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Hierarchical Object Detection and Recognition Framework for Practical Plant Disease Diagnosis.

Kohei Iwano, Shogo Shibuya, Satoshi Kagiwada, Hitoshi Iyatomi

CoRR, 2024

Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework.

Ryosuke Wayama, Yuki Sasaki, Satoshi Kagiwada, Nobusuke Iwasaki, Hitoshi Iyatomi

Comput. Electron. Agric., 2024

2023

Towards robust plant disease diagnosis with hard-sample re-mining strategy.

Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi

Comput. Electron. Agric., December, 2023

2022

LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis.

Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi

IEEE Trans Autom. Sci. Eng., 2022

2021

LASSR: Effective super-resolution method for plant disease diagnosis.

Quan Huu Cap, Hiroki Tani, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi

Comput. Electron. Agric., 2021

2019

Super-Resolution for Practical Automated Plant Disease Diagnosis System.

Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi

Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images.

Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis.

Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Diagnosis of Multiple Cucumber Infections with Convolutional Neural Networks.

Hiroki Tani, Ryunosuke Kotani, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi

Proceedings of the 47th IEEE Applied Imagery Pattern Recognition Workshop, 2018

2016

Basic Investigation on a Robust and Practical Plant Diagnostic System.

Erika Fujita, Yusuke Kawasaki, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

Basic Study of Automated Diagnosis of Viral Plant Diseases Using Convolutional Neural Networks.

Yusuke Kawasaki, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015