Yuntao Ma
Orcid: 0000-0001-6745-4654
According to our database1,
Yuntao Ma
authored at least 38 papers
between 2011 and 2024.
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Bibliography
2024
A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning.
IEEE Trans. Intell. Transp. Syst., June, 2024
Dual sampling linear regression ensemble to predict wheat yield across growing seasons with hyperspectral sensing.
Comput. Electron. Agric., January, 2024
Establishment and implementation of a clinical application and research database for surgical robots in China.
WIREs Data. Mining. Knowl. Discov., 2024
Investigating the 3D distribution of Cercospora leaf spot disease in sugar beet through fusion methods.
Comput. Electron. Agric., 2024
Exploring multi-features in UAV based optical and thermal infrared images to estimate disease severity of wheat powdery mildew.
Comput. Electron. Agric., 2024
Improved random patches and model transfer for deriving leaf mass per area across multispecies from spectral reflectance.
Comput. Electron. Agric., 2024
Quantitative analysis and planting optimization of multi-genotype sugar beet plant types based on 3D plant architecture.
Comput. Electron. Agric., 2024
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
2023
Enhancing leaf area index and biomass estimation in maize with feature augmentation from unmanned aerial vehicle-based nadir and cross-circling oblique photography.
Comput. Electron. Agric., December, 2023
Leaf area index estimation under wheat powdery mildew stress by integrating UAV‑based spectral, textural and structural features.
Comput. Electron. Agric., October, 2023
A spectral decomposition method for estimating the leaf nitrogen status of maize by UAV-based hyperspectral imaging.
Comput. Electron. Agric., September, 2023
High-quality images and data augmentation based on inverse projection transformation significantly improve the estimation accuracy of biomass and leaf area index.
Comput. Electron. Agric., September, 2023
Quantitative estimation of organ-scale phenotypic parameters of field crops through 3D modeling using extremely low altitude UAV images.
Comput. Electron. Agric., July, 2023
Progress in the Application of CNN-Based Image Classification and Recognition in Whole Crop Growth Cycles.
Remote. Sens., June, 2023
CoRR, 2023
Learning Arm-Assisted Fall Damage Reduction and Recovery for Legged Mobile Manipulators.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
A Trusted and Intelligent Service System for the Decoction of Traditional Chinese Medicine.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023
2022
Preliminary Experimental Results of Context-Aware Teams of Multiple Autonomous Agents Operating under Constrained Communications.
Robotics, 2022
Detection and Counting of Maize Leaves Based on Two-Stage Deep Learning with UAV-Based RGB Image.
Remote. Sens., 2022
Combining Learning-Based Locomotion Policy With Model-Based Manipulation for Legged Mobile Manipulators.
IEEE Robotics Autom. Lett., 2022
Comput. Electron. Agric., 2022
Improved estimation of canopy water status in maize using UAV-based digital and hyperspectral images.
Comput. Electron. Agric., 2022
2021
Signal Process. Image Commun., 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Artificial Intelligence Chronic Disease Management System Based on Medical Resource Perception.
Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021
2020
Remote. Sens., 2020
Remote. Sens., 2020
Proceedings of the Artificial Intelligence and Security - 6th International Conference, 2020
2019
Tree Species Classification by Employing Multiple Features Acquired from Integrated Sensors.
J. Sensors, 2019
A Smart Health-Oriented Traditional Chinese Medicine Pharmacy Intelligent Service Platform.
Proceedings of the Health Information Science - 8th International Conference, 2019
Proceedings of the Health Information Science - 8th International Conference, 2019
2018
A Research on the Combination Strategies of Multiple Features for Hyperspectral Remote Sensing Image Classification.
J. Sensors, 2018
Proceedings of the 4th International Conference on Big Data Computing and Communications, 2018
2012
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
A new method to extract and analyze abnormal phenomenon of earthquake from remote sensing information.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011