| Tomato flower detection and counting in greenhouses using faster region-based convolutional neural network UF Rahim, H Mineno Journal of Image and Graphics 8 (4), 107-113, 2020 | 27 | 2020 |
| Deep learning-based accurate grapevine inflorescence and flower quantification in unstructured vineyard images acquired using a mobile sensing platform UF Rahim, T Utsumi, H Mineno Computers and Electronics in Agriculture 198, 107088, 2022 | 18 | 2022 |
| Highly accurate tomato maturity recognition: combining deep instance segmentation, data synthesis and color analysis U Fawzia Rahim, H Mineno Proceedings of the 2021 4th Artificial Intelligence and Cloud Computing …, 2021 | 13 | 2021 |
| Data augmentation method for strawberry flower detection in non-structured environment using convolutional object detection networks UF Rahim, H Mineno Journal of Agricultural and Crop Research 8 (11), 260-271, 2020 | 9 | 2020 |
| Comparison of grape flower counting using patch-based instance segmentation and density-based estimation with convolutional neural networks UF Rahim, T Utsumi, H Mineno International Symposium on Artificial Intelligence and Robotics 2021 11884 …, 2021 | 8 | 2021 |
| Automated Grapevine Inflorescence Counting in a Vineyard Using Deep Learning and Multi-object Tracking UF Rahim, T Utsumi, Y Iwaki, H Mineno 2023 15th International Conference on Computer and Automation Engineering …, 2023 | | 2023 |
| TOWARDS RELIABLE PLANT PHENOTYPING WITH DEEP LEARNING AND REMOTE SENSING UF Rahim (No Title), 2022 | | 2022 |
