| 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 |
| Label-Efficient Learning in Agriculture: A Comprehensive Review J Li, D Chen, X Qi, Z Li, Y Huang, D Morris, X Tan Computers and Electronics in Agriculture 215, 108412, 2023 | 28 | 2023 |
| Meshflow video denoising Z Ren, J Li, S Liu, B Zeng 2017 IEEE International Conference on Image Processing (ICIP), 2966-2970, 2017 | 10 | 2017 |
| SoybeanNet: Transformer-based convolutional neural network for soybean pod counting from Unmanned Aerial Vehicle (UAV) images J Li, RT Magar, D Chen, F Lin, D Wang, X Yin, W Zhuang, Z Li Computers and Electronics in Agriculture 220, 108861, 2024 | 7 | 2024 |
| Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection J Li, D Chen, X Yin, Z Li Frontiers in Plant Science, 15, 1396568. https://doi.org/10.3389/fpls.2024 …, 2024 | 6 | 2024 |
| Multi-Modal LLMs in Agriculture: A Comprehensive Review R Sapkota, R Qureshi, SZ Hassan, J Shutske, M Shoman, M Sajjad, ... | 5 | 2024 |
| MetaFruit meets foundation models: Leveraging a comprehensive multi-fruit dataset for advancing agricultural foundation models J Li, K Lammers, X Yin, X Yin, L He, J Sheng, R Lu, Z Li Computers and Electronics in Agriculture 231, 109908, 2025 | 1 | 2025 |
| ML/DL in Agriculture through Label-Efficient Learning J Li, D Chen, Z Li, Y Huang, D Morris 2023 ASABE Annual International Meeting, 1, 2023 | 1 | 2023 |
| Lidar and Camera Calibration Using a Mounted Sphere J Li Michigan State University, 2020 | 1 | 2020 |
| Foundation Model-Based Apple Ripeness and Size Estimation for Selective Harvesting K Zhu, J Li, Z Kaixiang, A Chaaran, B Siddhartha, R Lu arXiv preprint arXiv:2502.01850, 2025 | | 2025 |
| Advancing Orchard Fruit Detection: An Innovative Agricultural Foundation Model Approach J Li, K Lammers, X Yin, X Yin, L He, R Lu, Z Li 2024 ASABE Annual International Meeting, 1, 2024 | | 2024 |
| SoybeanNet: Soybean Pod Counting from Unmanned Aerial Vehicle (UAV) Images with Transformer-Based Convolutional Neural Network J Li, R Thada Magar, D Chen, F Lin, D Wang, Z Li AGU Fall Meeting Abstracts 2023 (2153), B23F-2153, 2023 | | 2023 |