2023 article
Field-based robotic leaf angle detection and characterization of maize plants using stereo vision and deep convolutional neural networks
Xiang, L., Gai, J., Bao, Y., Yu, J., Schnable, P. S. S., & Tang, L. (2023, February 27). JOURNAL OF FIELD ROBOTICS.
2023 journal article
Synchronously Predicting Tea Polyphenol and Epigallocatechin Gallate in Tea Leaves Using Fourier Transform-Near-Infrared Spectroscopy and Machine Learning
MOLECULES, 28(14).
2022 conference paper
Detection and characterization of maize plant architectural traits in the field using stereo vision and deep convolutional neural networks
2022 ASABE Annual International Meeting. Presented at the 2022 ASABE Annual International Meeting, Houston, TX.
Event: 2022 ASABE Annual International Meeting at Houston, TX on July 17-20, 2022
2022 conference paper
In-field soybean seed pod phenotyping on harvest stocks using 3D imaging and deep learning
2022 ASABE Annual International Meeting. Presented at the 2022 ASABE Annual International Meeting, Houston, TX.
Event: 2022 ASABE Annual International Meeting at Houston, TX on July 17-20, 2022
2022 conference paper
Robotic Field-based Plant Architectural Traits Characterization Using Stereo Vision and Deep Neural Networks
Fourth International Workshop on Machine Learning for Cyber-Agricultural Systems (MLCAS2022). Presented at the Fourth International Workshop on Machine Learning for Cyber-Agricultural Systems (MLCAS2022), Ames, IA.
Event: Fourth International Workshop on Machine Learning for Cyber-Agricultural Systems (MLCAS2022) at Ames, IA on October 10-11, 2022
2021 journal article
A Convolutional Neural Network-Based Method for Corn Stand Counting in the Field
Sensors, 21(2), 507.
2021 conference paper
AngleNet: Leaf Angle Detection and Characterization of Maize Plants in the Field Based on Stereo Vision and Deep Convolutional Neural Network
2021 ASABE Annual International Virtual Meeting. Presented at the 2021 ASABE Annual International Virtual Meeting.
Event: 2021 ASABE Annual International Virtual Meeting on July 13-15, 2021
2021 chapter book
Field Robotic Systems for High-Throughput Plant Phenotyping: A Review and a Case Study
2021 journal article
Measuring Stem Diameter of Sorghum Plants in the Field Using a High-Throughput Stereo Vision System
Transactions of the ASABE, 64(6), 1999–2010.
2021 journal article
Robotic Assay for Drought (RoAD): an automated phenotyping system for brassinosteroid and drought responses
The Plant Journal, 107(6), 1837–1853.
2021 journal article
Using a depth camera for crop row detection and mapping for under-canopy navigation of agricultural robotic vehicle
Computers and Electronics in Agriculture, 188, 106301.
2020 conference paper
Developing a high-throughput stereo vision system for plant phenotyping
Phenome 2020. Presented at the Phenome 2020, Tucson, AZ.
Event: Phenome 2020 at Tucson, AZ on February 24-27, 2020
2020 conference paper
Developing the Control System of an Autonomous Robot for Field-based Maize/Sorghum Plant Phenotyping
2020 ASABE Annual International Virtual Meeting. Presented at the 2020 ASABE Annual International Virtual Meeting.
Event: 2020 ASABE Annual International Virtual Meeting on July 12-15, 2020
2020 conference paper
PhenoBot 3.0 - an Autonomous Robot for Field-based Maize/Sorghum Plant Phenotyping
Phenome 2020. Presented at the Phenome 2020, Tucson, AZ.
Event: Phenome 2020 at Tucson, AZ on February 24-27, 2020
2020 conference paper
PhenoStereo: a high-throughput stereo vision system for field-based plant phenotyping - with an application in sorghum stem diameter estimation
2020 ASABE Annual International Virtual Meeting, July 13-15, 2020. Presented at the 2020 ASABE Annual International Virtual Meeting, July 13-15, 2020.
Event: 2020 ASABE Annual International Virtual Meeting, July 13-15, 2020 on July 13-15, 2020
2019 journal article
Automated morphological traits extraction for sorghum plants via 3D point cloud data analysis
Computers and Electronics in Agriculture, 162, 951–961.
2019 conference paper
Robotic imaging-based methods for leaf segmentation and growth tracking in Arabidopsis
2019 ASABE Annual International Meeting. Presented at the 2019 ASABE Annual International Meeting, Boston, MA.
Event: 2019 ASABE Annual International Meeting at Boston, MA on July 7-10, 2019
2018 conference paper
Automated morphological trait extraction for sorghum plants via 3D point cloud data analysis
2018 ASABE Annual International Meeting. Presented at the 2018 ASABE Annual International Meeting, Detroit, MI.
Event: 2018 ASABE Annual International Meeting at Detroit, MI on July 29 - August 1, 2018
2018 journal article
Automatic Non-Destructive Growth Measurement of Leafy Vegetables Based on Kinect
Sensors, 18(3), 806.
2017 journal article
Comparative Analysis of Chemometrics Method on Heavy Metal Detection in Soil with Laser-Induced Breakdown Spectroscopy
Spectroscopy and Spectral Analysis, 37(12), 3871–3876. http://www.gpxygpfx.com/EN/Y2017/V37/I12/3871