| RiceNet: A two stage machine learning method for rice disease identification J Pan, T Wang, Q Wu Biosystems Engineering 225, 25-40, 2023 | 33 | 2023 |
| Automatic strawberry leaf scorch severity estimation via faster R-CNN and few-shot learning J Pan, L Xia, Q Wu, Y Guo, Y Chen, X Tian Ecological Informatics 70, 101706, 2022 | 33 | 2022 |
| Apple leaf disease identification via improved CycleGAN and convolutional neural network Y Chen, J Pan, Q Wu Soft Computing 27 (14), 9773-9786, 2023 | 26 | 2023 |
| Identification of tomato leaf diseases based on a deep neuro-fuzzy network X Tian, X Meng, Q Wu, Y Chen, J Pan Journal of The Institution of Engineers (India): Series A 103 (2), 695-706, 2022 | 16 | 2022 |
| Meta-baseline based on deep neuro-fuzzy network for few-shot plant leaf fungal diseases recognition X Meng, X Tian, Q Wu, Y Chen, J Pan, Y Hang The Imaging Science Journal 70 (3), 168-180, 2022 | 4 | 2022 |
| Identification of monocotyledons and dicotyledons leaves diseases with limited multi-category data by few-shot learning J Pan, Q Wu, Y Chen, Y Guo, Z Zhao Journal of Plant Diseases and Protection 129 (3), 651-663, 2022 | 2 | 2022 |
| An Efficient and Low-Cost Deep Learning-Based Method for Counting and Sizing Soybean Nodules. X Wang, N Yu, Y Sun, Y Guo, J Pan, J Niu, L Liu, H Chen, J Cao, H Cao, ... Agronomy 14 (9), 2024 | | 2024 |
