Real-time Crop Classification Using Edge Computing and Deep Learning. - Ming-Der Yang; Hsin-Hung Tseng; Yu-Chun Hsu; Wei Chen Tseng (CCNC, 2020)

Adaptive autonomous UAV scouting for rice lodging assessment using edge computing with deep learning EDANet. - Ming-Der Yang; Jayson G. Boubin; Hui Ping Tsai; Hsin-Hung Tseng; Yu-Chun Hsu; Christopher Stewart (Comput. Electron. Agric., 2020)

Semantic Segmentation Using Deep Learning with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images. - Ming-Der Yang; Hsin-Hung Tseng; Yu-Chun Hsu; Hui Ping Tsai (Remote. Sens., 2020)

A UAV Open Dataset of Rice Paddies for Deep Learning Practice. - Ming-Der Yang; Hsin-Hung Tseng; Yu-Chun Hsu; Chin-Ying Yang; Ming-Hsin Lai; Dong-Hong Wu (Remote. Sens., 2021)

Rice Seedling Detection in UAV Images Using Transfer Learning and Machine Learning. - Hsin-Hung Tseng; Ming-Der Yang; R. Saminathan; Yu-Chun Hsu; Chin-Ying Yang; Dong-Hong Wu (Remote. Sens., 2022)

Single-plant broccoli growth monitoring using deep learning with UAV imagery. - Cheng-Ju Lee; Ming-Der Yang; Hsin-Hung Tseng; Yu-Chun Hsu; Yu Sung; Wei-Ling Chen (Comput. Electron. Agric., 2023)

Precision assessment of rice grain moisture content using UAV multispectral imagery and machine learning. - Ming-Der Yang; Yu-Chun Hsu; Wei-Cheng Tseng; Hsin-Hung Tseng; Ming-Hsin Lai (Comput. Electron. Agric., 2025)