In-field high throughput phenotyping and cotton plant growth analysis using LiDAR S Sun, C Li, AH Paterson, Y Jiang, R Xu, JS Robertson, JL Snider, ... Frontiers in Plant Science 9, 16, 2018 | 143 | 2018 |
In-field high-throughput phenotyping of cotton plant height using LiDAR S Sun, C Li, AH Paterson Remote Sensing 9 (4), 377, 2017 | 121 | 2017 |
Aerial images and convolutional neural network for cotton bloom detection R Xu, C Li, AH Paterson, Y Jiang, S Sun, JS Robertson Frontiers in plant science 8, 2235, 2018 | 104 | 2018 |
Three-dimensional photogrammetric mapping of cotton bolls in situ based on point cloud segmentation and clustering S Sun, C Li, PW Chee, AH Paterson, Y Jiang, R Xu, JS Robertson, ... ISPRS Journal of Photogrammetry and Remote Sensing 160, 195-207, 2020 | 95 | 2020 |
Simulation of an autonomous mobile robot for LiDAR-based in-field phenotyping and navigation J Iqbal, R Xu, S Sun, C Li Robotics 9 (2), 46, 2020 | 89 | 2020 |
GPhenoVision: a ground mobile system with multi-modal imaging for field-based high throughput phenotyping of cotton Y Jiang, C Li, JS Robertson, S Sun, R Xu, AH Paterson Scientific reports 8 (1), 1213, 2018 | 81 | 2018 |
DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field Y Jiang, C Li, R Xu, S Sun, JS Robertson, AH Paterson Plant methods 16, 1-17, 2020 | 45 | 2020 |
Image processing algorithms for infield single cotton boll counting and yield prediction S Sun, C Li, AH Paterson, PW Chee, JS Robertson Computers and electronics in agriculture 166, 104976, 2019 | 45 | 2019 |
Quantitative analysis of cotton canopy size in field conditions using a consumer-grade RGB-D camera Y Jiang, C Li, AH Paterson, S Sun, R Xu, J Robertson Frontiers in plant science 8, 2233, 2018 | 44 | 2018 |
High resolution 3D terrestrial LiDAR for cotton plant main stalk and node detection S Sun, C Li, PW Chee, AH Paterson, C Meng, J Zhang, P Ma, ... Computers and electronics in agriculture 187, 106276, 2021 | 26 | 2021 |
Fault diagnosis in railway track circuits using support vector machines S Sun, H Zhao 2013 12th International Conference on Machine Learning and Applications 2 …, 2013 | 14 | 2013 |
3D computer vision and machine learning based technique for high throughput cotton boll mapping under field conditions S Sun, C Li, A Paterson, Y Jiang, J Robertson 2018 ASABE Annual International Meeting, 1, 2018 | 9 | 2018 |
Rapid determination of the roasting degree of cocoa beans by extreme learning machine (ELM)-based imaging analysis Y Yang, AG Darwish, I El-Sharkawy, Q Zhu, S Sun, J Tan Journal of Agriculture and Food Research 10, 100437, 2022 | 8 | 2022 |
The method of fault detection of compensation capacitor in jointless track circuit based on phase space reconstruction SP Sun, HB Zhao Journal of the China railway society 34 (10), 79-84, 2012 | 8 | 2012 |
Cotton plant part 3D segmentation and architectural trait extraction using point voxel convolutional neural networks F Saeed, S Sun, J Rodriguez-Sanchez, J Snider, T Liu, C Li Plant methods 19 (1), 33, 2023 | 7 | 2023 |
Height estimation for blueberry bushes using LiDAR based on a field robotic platform S Sun, C Li 2016 ASABE Annual International Meeting, 1, 2016 | 7 | 2016 |
Augmented reality for food quality assessment: Bridging the physical and digital worlds JT Liberty, S Sun, C Kucha, AA Adedeji, G Agidi, MO Ngadi Journal of Food Engineering, 111893, 2023 | 6 | 2023 |
Eff-3DPSeg: 3D organ-level plant shoot segmentation using annotation-efficient point clouds L Luo, X Jiang, Y Yang, ERA Samy, M Lefsrud, V Hoyos-Villegas, S Sun arXiv preprint arXiv:2212.10263, 2022 | 6 | 2022 |
In-field high throughput phenotyping and phenotype data analysis for cotton plant growth using LiDAR S Sun, C Li 2017 ASABE Annual International Meeting, 1, 2017 | 6 | 2017 |
Research on Method for Calculation of Shunt Resistances of TrackCicuits Using Electrical Contact Theory S Sun, H Zhao, D Chen J. China Railw. Soc 36, 31-36, 2014 | 6 | 2014 |