*Japanese*
Non-destructive detection of huanglongbing by machine learning algorithms on foliar hyperspectral reflectance , R. Dong, A. Shiraiwa, K. Ichinose, A. Pawasu, S. Mensin, M. Sumalee, T. Hayashi , International Citrus Congress 2024 , 2024.11 , There is Review , The Multiple Authorship , English
Diagnosis of citrus greening using artificial intelligence: A faster region-based convolutional neural network approach with convolution block attention module-integrated VGGNet and ResNet models , Dong, R., Shiraiwa, A., Pawasut, A., Sreechun, K., & Hayashi, T. , Plants , vol.13 (12) (p.1631 - ) , 2024.06 , There is Review , The Multiple Authorship , English
A simple diagnostic method for citrus greening disease based on deep learning , R. Dong, T. Hayashi, A. Shiraiwa, A. Pawasut, K. Sreechung, H. Inoue , Acta Horticulturae (1399) (p.371 - 378) , 2024 , There is Review , The Multiple Authorship , English
Modeling of "High-Class Feeling" on a Cosmetic Package Design , vol.87 (1) (p.134 - 139) , 2021.01 , There is Review , The Multiple Authorship , Japanese
Quantification of restroom cleanliness status using physical sensor and Kansei information , Kurose Sumio, Shiraiwa Aya, Matsunaga Tadao, Moriwaki Hironori, Lee Sang-Seok , IEICE Proceeding Series , vol.74 (p.187 - 190) , 2020.11 , There is No Review , The Multiple Authorship , English
16th Asia-Pacific Conference on Vision (APCV2024) , Differences between the visual behaviors of experts and beginners in diagnosing citrus Huanglongbing (HLB) , 2024.07 , The International Conference , The Poster (generality)
Updated on 2024/11/21