Harshana Habaragamuwa

Double Lighting Machine Vision System to Monitor Harvested Paddy Grain Quality during Head-Feeding Combine Harvester Operation

Usman Ahmad, Naoshi Kondo, Kazuya Yamamoto, 2015 .

Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders

Kenichi Tanaka, Y. Oishi, Harshana Habaragamuwa, 2021, ArXiv.

Detecting greenhouse strawberries (mature and immature), using deep convolutional neural network

Naoshi Kondo, Tomoo Shiigi, Yuichi Ogawa, 2018, Engineering in Agriculture, Environment and Food.

Potato quality grading based on machine vision and 3D shape analysis

Hong Sun, Minzan Li, Naoshi Kondo, 2018, Comput. Electron. Agric..

Potato Quality Grading Based on Depth Imaging and Convolutional Neural Network

Naoshi Kondo, Harshana Habaragamuwa, Qinghua Su, 2020, Journal of Food Quality.

Monitoring harvested paddy during combine harvesting using a machine vision-Double lighting system

Naoshi Kondo, Jahari Mahirah, Kazuya Yamamoto, 2017 .

Automated abnormal potato plant detection system using deep learning models and portable video cameras

Harshana Habaragamuwa, Ryo Sugiura, Kenji Asano, 2021, Int. J. Appl. Earth Obs. Geoinformation.