| 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 | 82 | 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 | 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 | 63 | 2021 |
| 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 | 56 | 2019 |
| Robust Navigation Control of a 4WD/4WS Agricultural Robotic Vehicle X Tu, J Gai, L Tang Computers and Electronics in Agriculture, 2019 | 56 | 2019 |
| 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 | 29 | 2015 |
| 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 | 22 | 2016 |
| 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 | 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 | 10 | 2021 |
| 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 | 10 | 2014 |
| 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 | 9 | 2021 |
| 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 | 9 | 2020 |
| 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 | 9 | 2016 |
| 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 | 8 | 2021 |
| Automated crop plant detection based on the fusion of color and depth images for robotic weed control. J Field Robot 37: 35–52 J Gai, L Tang, BL Steward | 5 | 2020 |
| Plants detection, localization and discrimination using 3D machine vision for robotic intra-row weed control J Gai Iowa State University, 2016 | 4 | 2016 |
| 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, 543-568, 2024 | 3 | 2024 |
| Prediction of Both E-Jet Printing Ejection Cycle Time and Droplet Diameter Based on Random Forest Regression Y Chen, Z Lao, R Wang, J Li, J Gai, H You Micromachines 14 (3), 623, 2023 | 1 | 2023 |
| 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 | | 2024 |
| 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 |
Lie TangIowa State UniversityE-mail confirmado em iastate.edu
