| Weed detection in canola fields using maximum likelihood classification and deep convolutional neural network MH Asad, A Bais Information Processing in Agriculture 7 (4), 535-545, 2020 | 146 | 2020 |
| End to end segmentation of canola field images using dilated U-Net HS Ullah, MH Asad, A Bais IEEE Access 9, 59741-59753, 2021 | 18 | 2021 |
| Crop and weed leaf area index mapping using multi-source remote and proximal sensing MH Asad, A Bais IEEE Access 8, 138179-138190, 2020 | 18 | 2020 |
| Weed detection in canola fields using maximum likelihood classification and deep convolutional neural network. Information Processing in Agriculture, 7 (4), 535-545 MH Asad, A Bais | 11 | 2020 |
| Weed density estimation using semantic segmentation MH Asad, A Bais Image and Video Technology: PSIVT 2019 International Workshops, Sydney, NSW …, 2020 | 11 | 2020 |
| Soil surface texture classification using RGB images acquired under uncontrolled field conditions E Babalola, MH Asad, A Bais IEEE Access, 2023 | 5 | 2023 |
| Weed detection in canola fields using maximum likelihood classification and deep convolutional neural network. Inf. Process. Agric.(2019) MH Asad, A Bais | 5 | |
| Estimation of Weed Densities for Variable Rate Herbicide Application MH Asad Faculty of Graduate Studies and Research, University of Regina, 2019 | 1 | 2019 |
| Mapping Soil Organic Matter Under Field Conditions MH Asad, BE Oreoluwa, A Bais IEEE Transactions on AgriFood Electronics, 2024 | | 2024 |
| Improved Crop and Weed Detection with Diverse Data Ensemble Learning in Agriculture MH Asad, S Anwar, A Bais arXiv preprint arXiv:2310.01055, 2023 | | 2023 |
| Detection and Mapping of Kochia Plants and Patches using High-Resolution Ground Imagery and Satellite Data: Application of Machine Learning MH Asad, S Saleem, A Bais IEEE Access, 2023 | | 2023 |
