Lie Tang
Cited by
Cited by
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
Color image segmentation with genetic algorithm for in-field weed sensing
L Tang, L Tian, BL Steward
Transactions of the ASAE 43 (4), 1019, 2000
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
Coverage path planning on three‐dimensional terrain for arable farming
J Jin, L Tang
Journal of field robotics 28 (3), 424-440, 2011
Optimal coverage path planning for arable farming on 2D surfaces
J Jin, L Tang
Transactions of the ASABE 53 (1), 283-295, 2010
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
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
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
Corn plant sensing using real‐time stereo vision
J Jin, L Tang
Journal of Field Robotics 26 (6‐7), 591-608, 2009
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
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 (6), 267-278, 2007
Distance–based control system for machine vision–based selective spraying
BL Steward, LF Tian, L Tang
Transactions of the ASAE 45 (5), 1255, 2002
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
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
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 (3), 768-780, 2018
Classification of toxigenic and atoxigenic strains of Aspergillus flavus with hyperspectral imaging
J Jin, L Tang, Z Hruska, H Yao
Computers and Electronics in Agriculture 69 (2), 158-164, 2009
Plant identification in mosaicked crop row images for automatic emerged corn plant spacing measurement
L Tang, LF Tian
Transactions of the ASABE 51 (6), 2181-2191, 2008
A real-time automated system for monitoring individual feed intake and body weight of group housed turkeys
X Tu, S Du, L Tang, H Xin, B Wood
Computers and electronics in agriculture 75 (2), 313-320, 2011
Quantifying sub-pixel signature of paddy rice field using an artificial neural network
M Karkee, BL Steward, L Tang, SA Aziz
computers and electronics in agriculture 65 (1), 65-76, 2009
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
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