Automatic non-destructive growth measurement of leafy vegetables based on kinect Y Hu, L Wang, L Xiang, Q Wu, H Jiang Sensors 18 (3), 806, 2018 | 85 | 2018 |
Automated morphological traits extraction for sorghum plants via 3D point cloud data analysis L Xiang, Y Bao, L Tang, D Ortiz, MG Salas-Fernandez Computers and Electronics in Agriculture 162, 951-961, 2019 | 72 | 2019 |
Using a depth camera for crop row detection and mapping for under-canopy navigation of agricultural robotic vehicle J Gai, L Xiang, L Tang Computers and Electronics in Agriculture 188, 106301, 2021 | 69 | 2021 |
A convolutional neural network-based method for corn stand counting in the field L Wang, L Xiang, L Tang, H Jiang Sensors 21 (2), 507, 2021 | 40 | 2021 |
Field‐based robotic leaf angle detection and characterization of maize plants using stereo vision and deep convolutional neural networks L Xiang, J Gai, Y Bao, J Yu, PS Schnable, L Tang Journal of Field Robotics 40 (5), 1034-1053, 2023 | 21 | 2023 |
PhenoStereo: a high-throughput stereo vision system for field-based plant phenotyping-with an application in sorghum stem diameter estimation L Xiang, L Tang, J Gai, L Wang 2020 ASABE annual international virtual meeting, 1, 2020 | 13 | 2020 |
A review of three-dimensional vision techniques in food and agriculture applications L Xiang, D Wang Smart Agricultural Technology 5, 100259, 2023 | 11 | 2023 |
Measuring stem diameter of sorghum plants in the field using a high-throughput stereo vision system L Xiang, L Tang, J Gai, L Wang Transactions of the ASABE 64 (6), 1999-2010, 2021 | 11 | 2021 |
Field robotic systems for high-throughput plant phenotyping: a review and a case study Y Bao, J Gai, L Xiang, L Tang High-Throughput Crop Phenotyping, 13-38, 2021 | 11 | 2021 |
Robotic Assay for Drought (RoAD): An automated phenotyping system for brassinosteroid and drought responses L Xiang, TM Nolan, Y Bao, M Elmore, T Tuel, J Gai, D Shah, P Wang, ... The Plant Journal 107 (6), 1837-1853, 2021 | 10 | 2021 |
Comparative analysis of chemometrics method on heavy metal detection in soil with laser-induced breakdown spectroscopy LR Xiang, ZH Ma, XY Zhao, F Liu, Y He, L Feng Spectroscopy and Spectral Analysis 37 (12), 3871-3876, 2017 | 10 | 2017 |
Spectroscopic determination of chlorophyll content in sugarcane leaves for drought stress detection J Gai, J Wang, S Xie, L Xiang, Z Wang Precision Agriculture 25 (2), 543-569, 2024 | 8 | 2024 |
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 | 7 | 2024 |
ToolNet: Connecting large language models with massive tools via tool graph X Liu, Z Peng, X Yi, X Xie, L Xiang, Y Liu, D Xu arXiv preprint arXiv:2403.00839, 2024 | 4 | 2024 |
Plant-Denoising-Net (PDN): A plant point cloud denoising network based on density gradient field learning J Wu, L Xiang, H You, L Tang, J Gai ISPRS Journal of Photogrammetry and Remote Sensing 210, 282-299, 2024 | 1 | 2024 |
Synchronously Predicting Tea Polyphenol and Epigallocatechin Gallate in Tea Leaves Using Fourier Transform–Near-Infrared Spectroscopy and Machine Learning S Ye, H Weng, L Xiang, L Jia, J Xu Molecules 28 (14), 5379, 2023 | 1 | 2023 |
Swin-Roleaf: A new method for characterizing leaf azimuth angle in large-scale maize plants W He, JL Gage, R Rellán-Álvarez, L Xiang Computers and Electronics in Agriculture 224, 109120, 2024 | | 2024 |
CCHA YOLO for mycelium clamp connection (CC) and hyphae Autolysis (HA) detection under microscopy imaging and web deployment L Wu, S Lin, W Jin, H Weng, J Xu, LT Zhang, Y Xu, L Xiang, S Sun, D Ye Microchemical Journal 201, 110483, 2024 | | 2024 |
Photorealistic Robotic Simulation using Unreal Engine 5 for Agricultural Applications X Li, L Xiang arXiv preprint arXiv:2405.18551, 2024 | | 2024 |
Noninvasive Abiotic Stress Phenotyping of Vascular Plant in Each Vegetative Organ View L Wu, H Shao, J Li, C Chen, N Hu, B Yang, H Weng, L Xiang, D Ye Plant Phenomics 6, 0180, 2024 | | 2024 |