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Jingyao Gai
Jingyao Gai
Assistant Prof. of Mechanical Engineering, Guangxi University
Verified email at iastate.edu
Title
Cited by
Cited by
Year
Automated Crop Plant Detection Based on the Fusion of Color and Depth Images for Robotic Weed Control
J Gai, L Tang, B Steward
Journal of Field Robotics, 2019
402019
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
342019
The use of agricultural robots in weed management and control
B Steward, J Gai, L Tang
Robotics and automation for improving agriculture, 161-186, 2019
302019
Robust Navigation Control of a 4WD/4WS Agricultural Robotic Vehicle
X Tu, J Gai, L Tang
Computers and Electronics in Agriculture, 2019
272019
Plant recognition through the fusion of 2D and 3D images for robotic weeding
J Gai, L Tang, B Steward
2015 ASABE Annual International Meeting, 1, 2015
242015
Development of a mobile robotic phenotyping system for growth chamber-based studies of genotype x environment interactions
D Shah, L Tang, J Gai, R Putta-Venkata
IFAC-PapersOnLine 49 (16), 248-253, 2016
182016
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
142021
Plant localization and discrimination using 2D+ 3D computer vision for robotic intra-row weed control
J Gai, L Tang, B Steward
2016 ASABE Annual International Meeting, 1, 2016
82016
Techno-economic analysis of future precision field robots
OM Toledo, BL Steward, L Tang, J Gai
2014 Montreal, Quebec Canada July 13–July 16, 2014, 1, 2014
82014
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
52020
Plants detection, localization and discrimination using 3D machine vision for robotic intra-row weed control
J Gai
Iowa State University, 2016
42016
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
22021
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
22021
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
12021
Modeling, Simulation, and Visualization of Agricultural and Field Robotic Systems
BL Steward, MZ Tekeste, J Gai, L Tang
Fundamentals of Agricultural and Field Robotics, 297-334, 2021
2021
The use of agricultural robots in weed management and control
L Tang, B Steward, J Gai
2019
Robotic Weeders in Organic Vegetable Cropping Systems
K Delate, R Turnbull, L Tang, J Gai
HORTSCIENCE 53 (9), S162-S162, 2018
2018
Techno-economic analysis of future precision field robots
L Tang, O Toledo, B Steward, J Gai
2014
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