Quantifying consistency of crop establishment using a lightweight U-Net deep learning architecture and image processing techniques M Ullah, F Islam, A Bais Computers and Electronics in Agriculture 217, 108617, 2024 | 5 | 2024 |
QuanCro: a novel framework for quantification of corn crops’ consistency under natural field conditions F Islam, M Ullah, A Bais Neural Computing and Applications 35 (35), 24877-24896, 2023 | 5 | 2023 |
A Novel Computer Vision System for Efficient Flea Beetle Monitoring in Canola Crop M Ullah, MS Hasan, A Bais, T Wist, S Sharpe IEEE Transactions on AgriFood Electronics, 2024 | 1 | 2024 |
Monitoring Wheat Midge Populations using CNNs on White Sticky Cards of Pheromone Traps in Field Settings I Nwoko, M Ullah, A Bais, S Shaun, T Wist 2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE …, 2023 | 1 | 2023 |
Automatic Speech Recognition [D] M Ullah Guangzhou: South China University of Technology, 2020 | 1 | 2020 |
TranSEF: Transformer Enhanced Self-Ensemble Framework for Damage Assessment in Canola Crops M Ullah, A Bais, T Wist IEEE Transactions on AgriFood Electronics, 2024 | | 2024 |