Jingyao Gai
Jingyao Gai
Ph.D student of Agricultural Engineering, Iowa State University
E-mail confirmado em iastate.edu
Citado por
Citado por
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
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
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
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
The use of agricultural robots in weed management and control
BL Steward, J Gai, L Tang
Robust Navigation Control of a 4WD/4WS Agricultural Robotic Vehicle
X Tu, J Gai, L Tang
Computers and Electronics in Agriculture, 2019
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
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
Plants detection, localization and discrimination using 3D machine vision for robotic intra-row weed control
J Gai
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
Robotic Assay for Drought (RoAD): An Automated Phenotyping System for Brassinosteroid and Drought Response
L Xiang, TM Nolan, Y Bao, M Elmore, T Tuel, J Gai, D Shah, NM Huser, ...
bioRxiv, 2020
Robotic Weeders in Organic Vegetable Cropping Systems
K Delate, R Turnbull, L Tang, J Gai
HORTSCIENCE 53 (9), S162-S162, 2018
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