| A robust deep-learning-based detector for real-time tomato plant diseases and pests recognition A Fuentes, S Yoon, SC Kim, DS Park Sensors 17 (9), 2022, 2017 | 1585 | 2017 |
| A comprehensive survey of image augmentation techniques for deep learning M Xu, S Yoon, A Fuentes, DS Park Pattern Recognition 137, 109347, 2023 | 476 | 2023 |
| High-Performance Deep Neural Network-Based Tomato Plant Diseases and Pests Diagnosis System with Refinement Filter Bank A Fuentes, S Yoon, J Lee, DS Park Frontiers in Plant Science 9, 1162, 2018 | 222 | 2018 |
| Unsupervised image translation using adversarial networks for improved plant disease recognition H Nazki, S Yoon, A Fuentes, DS Park Computers and Electronics in Agriculture 168, 105117, 2020 | 203 | 2020 |
| Deep learning-based hierarchical cattle behavior recognition with spatio-temporal information A Fuentes, S Yoon, J Park, DS Park Computers and Electronics in Agriculture 177, 105627, 2020 | 131 | 2020 |
| 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, 3361, 2022 | 62 | 2022 |
| Deep learning-based techniques for plant diseases recognition in real-field scenarios A Fuentes, S Yoon, DS Park Advanced Concepts for Intelligent Vision Systems: 20th International …, 2020 | 51 | 2020 |
| Deep learning-based phenotyping system with glocal description of plant anomalies and symptoms A Fuentes, S Yoon, DS Park Frontiers in Plant Science 10, 1321, 2019 | 46 | 2019 |
| Spectral Analysis of CNN for Tomato Disease Identification A Fuentes, DH Im, S Yoon, DS Park International Conference on Artificial Intelligence and Soft Computing, 40-51, 2017 | 38 | 2017 |
| Characteristics of Tomato Plant Diseases - A study for tomato plant disease identification A Fuentes, Y Lee, Y Hong, S Yoon, DS Park ISITC 2016 International Symposium on Information Technology Convergence, 2016 | 33 | 2016 |
| Small-scale timber harvesting AF Elena Mejia, Guido Fernandez, Marco Vinueza In book: Forest use and timber markets in the Ecuadorian Amazon, Publisher …, 2014 | 26* | 2014 |
| Improving Accuracy of Tomato Plant Disease Diagnosis based on Deep Learning with Explicit Control of Hidden Classes A Fuentes, S Yoon, MH Lee, DS Park Frontiers in Plant Science 12, 2938, 2021 | 25 | 2021 |
| Deep Learning-based Multi-Cattle Tracking in Crowded Livestock Farming using Video S Han, A Fuentes, S Yoon, J Yeong, H Kim, DS Park Computer and Electronics in Agriculture 1012, 2023 | 23 | 2023 |
| Open Set Self and Across Domain Adaptation for Tomato Disease Recognition with Deep Learning Techniques A Fuentes, S Yoon, T Kim, DS Park Frontiers in Plant Science 12, 2872, 2021 | 23 | 2021 |
| 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 | 19 | 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 |
| Multiview monitoring of individual cattle behavior based on action recognition in closed barns using deep learning A Fuentes, S Han, MF Nasir, J Park, S Yoon, DS Park Animals 13 (12), 2020, 2023 | 14 | 2023 |
| A New Deep Learning-based Dynamic Paradigm Towards Open-World Plant Disease Detection J Dong, A Fuentes, S Yoon, H Kim, Y Jeong, DS Park Frontiers in Plant Science 14, 1243822, 2023 | 9 | 2023 |
| Anomaly Detection of Plant Diseases and Insects using Convolutional Neural Networks A Fuentes, J Lee, Y Lee, DS Park ELSEVIER Conference ISEM 2017 - The International Society for Ecological …, 2017 | 9 | 2017 |
| Improving known–Unknown cattle’s face recognition for smart livestock farm management Y Meng, S Yoon, S Han, A Fuentes, J Park, Y Jeong, DS Park Animals 13 (22), 3588, 2023 | 7 | 2023 |
