A vision based row detection system for sugar beet T Bakker, H Wouters, K Van Asselt, J Bontsema, L Tang, J Müller, ... Computers and electronics in agriculture 60 (1), 87-95, 2008 | 233 | 2008 |
Color image segmentation with genetic algorithm for in-field weed sensing L Tang, L Tian, BL Steward Transactions of the ASAE 43 (4), 1019-1027, 2000 | 190 | 2000 |
Optimal coverage path planning for arable farming on 2D surfaces J Jin, L Tang Transactions of the ASABE 53 (1), 283-295, 2010 | 163 | 2010 |
Classification of broadleaf and grass weeds using Gabor wavelets and an artificial neural network L Tang, L Tian, BL Steward Transactions of the ASAE 46 (4), 1247, 2003 | 154 | 2003 |
Coverage path planning on three‐dimensional terrain for arable farming J Jin, L Tang Journal of field robotics 28 (3), 424-440, 2011 | 151 | 2011 |
A high-throughput, field-based phenotyping technology for tall biomass crops MG Salas Fernandez, Y Bao, L Tang, PS Schnable Plant physiology 174 (4), 2008-2022, 2017 | 147 | 2017 |
Automatic morphological trait characterization for corn plants via 3D holographic reconstruction S Chaivivatrakul, L Tang, MN Dailey, AD Nakarmi Computers and Electronics in Agriculture 109, 109-123, 2014 | 112 | 2014 |
Corn plant sensing using real‐time stereo vision J Jin, L Tang Journal of Field Robotics 26 (6‐7), 591-608, 2009 | 100 | 2009 |
Automatic inter-plant spacing sensing at early growth stages using a 3D vision sensor AD Nakarmi, L Tang Computers and electronics in agriculture 82, 23-31, 2012 | 99 | 2012 |
Automated crop plant detection based on the fusion of color and depth images for robotic weed control J Gai, L Tang, BL Steward Journal of Field Robotics 37 (1), 35-52, 2020 | 88 | 2020 |
Field‐based robotic phenotyping of sorghum plant architecture using stereo vision Y Bao, L Tang, MW Breitzman, MG Salas Fernandez, PS Schnable Journal of Field Robotics 36 (2), 397-415, 2019 | 83 | 2019 |
Double-DQN based path smoothing and tracking control method for robotic vehicle navigation W Zhang, J Gai, Z Zhang, L Tang, Q Liao, Y Ding Computers and Electronics in Agriculture 166, 104985, 2019 | 78 | 2019 |
Nondestructive freshness discriminating of shrimp using visible/near-infrared hyperspectral imaging technique and deep learning algorithm X Yu, L Tang, X Wu, H Lu Food analytical methods 11, 768-780, 2018 | 75 | 2018 |
Colour based detection of volunteer potatoes as weeds in sugar beet fields using machine vision AT Nieuwenhuizen, L Tang, JW Hofstee, J Müller, EJ Van Henten Precision Agriculture 8, 267-278, 2007 | 75 | 2007 |
Texture-based weed classification using Gabor wavelets and neural network for real-time selective herbicide applications L Tang, LF Tian, BL Steward, JF Reid Transactions of the American Society of Agricultural Engineers 99, 7035, 1999 | 74 | 1999 |
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 | 71 | 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 |
Distance–based control system for machine vision–based selective spraying BL Steward, LF Tian, L Tang Transactions of the ASAE 45 (5), 1255, 2002 | 68 | 2002 |
Field-based architectural traits characterisation of maize plant using time-of-flight 3D imaging Y Bao, L Tang, S Srinivasan, PS Schnable Biosystems Engineering 178, 86-101, 2019 | 67 | 2019 |
Automated tracking and behavior quantification of laying hens using 3D computer vision and radio frequency identification technologies AD Nakarmi, L Tang, H Xin Transactions of the ASABE 57 (5), 1455-1472, 2014 | 66 | 2014 |