| A comprehensive survey of image augmentation techniques for deep learning M Xu, S Yoon, A Fuentes, DS Park Pattern Recognition 137, 109347, 2023 | 460 | 2023 |
| Style-consistent image translation: A novel data augmentation paradigm to improve plant disease recognition M Xu, S Yoon, A Fuentes, J Yang, DS Park Frontiers in plant science 12, 773142, 2022 | 62 | 2022 |
| A novel heuristic communication heterogeneous dual population ant colony optimization algorithm M Xu, X You, S Liu IEEE Access 5, 18506-18515, 2017 | 38 | 2017 |
| Transfer learning for versatile plant disease recognition with limited data M Xu, S Yoon, Y Jeong, DS Park Frontiers in Plant Science 13, 1010981, 2022 | 31 | 2022 |
| Foundation models in smart agriculture: Basics, opportunities, and challenges J Li, M Xu, L Xiang, D Chen, W Zhuang, X Yin, Z Li Computers and Electronics in Agriculture 222, 109032, 2024 | 28 | 2024 |
| Embracing limited and imperfect training datasets: opportunities and challenges in plant disease recognition using deep learning M Xu, H Kim, J Yang, A Fuentes, Y Meng, S Yoon, T Kim, DS Park Frontiers in Plant Science 14, 1225409, 2023 | 20* | 2023 |
| Data-centric annotation analysis for plant disease detection: Strategy, consistency, and performance J Dong, J Lee, A Fuentes, M Xu, S Yoon, MH Lee, DS Park Frontiers in Plant Science 13, 1037655, 2022 | 19 | 2022 |
| Transfer Learning with Self-Supervised Vision Transformer for Large-Scale Plant Identification. M Xu, S Yoon, Y Jeong, J Lee, DS Park CLEF (Working Notes), 2238-2252, 2022 | 11* | 2022 |
| Flexible and high quality plant growth prediction with limited data Y Meng, M Xu, S Yoon, Y Jeong, DS Park Frontiers in Plant Science 13, 989304, 2022 | 10 | 2022 |
| Known and unknown class recognition on plant species and diseases Y Meng, M Xu, H Kim, S Yoon, Y Jeong, DS Park Computers and Electronics in Agriculture 215, 108408, 2023 | 8 | 2023 |
| Instance-level image translation with a local discriminator M Xu, J Lee, A Fuentes, DS Park, J Yang, S Yoon IEEE Access 9, 111802-111813, 2021 | 6 | 2021 |
| Plant disease recognition datasets in the age of deep learning: challenges and opportunities M Xu, JE Park, J Lee, J Yang, S Yoon Frontiers in Plant Science 15, 1452551, 2024 | 5 | 2024 |
| Enhanced Plant Disease Recognition with Limited Training Dataset Using Image Translation and Two-Step Transfer Learning M Xu 10.13140/RG.2.2.27298.91846, 2023 | 5 | 2023 |
| Unsupervised transfer learning for plant anomaly recognition M Xu, S Yoon, J Lee, DS Park Smart Media Journal 11 (4), 30-37, 2022 | 5 | 2022 |
| 基于统计分析的自适应蚁群算法及应用 许明乐， 游晓明， 刘升 计算机应用与软件 34 (7), 204-211, 2017 | 3 | 2017 |
| PlantCLEF2023: A Bigger Training Dataset Contributes More than Advanced Pretraining Methods for Plant Identification. M Xu, S Yoon, C Wu, J Baek, DS Park CLEF (Working Notes), 2168-2180, 2023 | 2 | 2023 |
| Variation-aware semantic image synthesis M Xu, J Lee, S Yoon, H Kim, DS Park Image and Vision Computing 142, 104914, 2024 | 1 | 2024 |
| Predicting Desired Fertigation for Rose Using Internet of Things Sensors and Time-Series Model M Xu, S Yoon, J Park, J Baek, DS Park Smart Media Journal 13 (2), 16-22, 2024 | 1 | 2024 |
| Enhanced class-specific spatial normalization for image generation M Xu, Y Jeong, DS Park, S Yoon IEEE Access 10, 6569-6579, 2022 | 1 | 2022 |
| Intelligent Water and Nutrient Supply for Tomato Plant in Greenhouse M Xu, A Fuentes, J Park, S Yoon, DS Park 제어로봇시스템학회 각 지부별 자료집, 30-31, 2021 | 1 | 2021 |
