Yongliang Qiao
Orcid: 0000-0003-2142-0154
According to our database1,
Yongliang Qiao
authored at least 35 papers
between 2014 and 2024.
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Bibliography
2024
Segmentation and tracking of vegetable plants by exploiting vegetable shape feature for precision spray of agricultural robots.
J. Field Robotics, May, 2024
A study on an accurate modeling for distinguishing nitrogen, phosphorous and potassium status in summer maize using in situ canopy hyperspectral data.
Comput. Electron. Agric., 2024
Data Augmentation Guided Decouple Knowledge Distillation for Low-Resolution Fine-Grained Image Classification.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
A framework for automatic analysis of sheep ruminating behavior based on keypoint detection.
Proceedings of the 30th International Conference on Mechatronics and Machine Vision in Practice, 2024
Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024
2023
Vision-Based Cow Tracking and Feeding Monitoring for Autonomous Livestock Farming: The YOLOv5s-CA+DeepSORT-Vision Transformer.
IEEE Robotics Autom. Mag., December, 2023
Fusing vegetation index and ridge segmentation for robust vision based autonomous navigation of agricultural robots in vegetable farms.
Comput. Electron. Agric., October, 2023
Comput. Electron. Agric., March, 2023
Comput. Electron. Agric., 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
IEEE Trans. Ind. Informatics, 2022
Sensors, 2022
C3D-ConvLSTM based cow behaviour classification using video data for precision livestock farming.
Comput. Electron. Agric., 2022
Comput. Electron. Agric., 2022
Comput. Electron. Agric., 2022
Appl. Intell., 2022
Proceedings of the Green, Pervasive, and Cloud Computing - 17th International Conference, 2022
2021
Long-Term Changes in the Unique and Largest Seagrass Meadows in the Bohai Sea (China) Using Satellite (1974-2019) and Sonar Data: Implication for Conservation and Restoration.
Remote. Sens., 2021
Data augmentation for deep learning based semantic segmentation and crop-weed classification in agricultural robotics.
Comput. Electron. Agric., 2021
Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation.
Comput. Electron. Agric., 2021
2020
CNN feature based graph convolutional network for weed and crop recognition in smart farming.
Comput. Electron. Agric., 2020
Filtering for systems subject to unknown inputs without a priori initial information.
Autom., 2020
Data Augmentation for Deep Learning based Cattle Segmentation in Precision Livestock Farming.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020
BiLSTM-based Individual Cattle Identification for Automated Precision Livestock Farming.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020
2019
Sensors, 2019
Cattle segmentation and contour extraction based on Mask R-CNN for precision livestock farming.
Comput. Electron. Agric., 2019
2018
Corrigendum to "Visual Localization by Place Recognition Based on Multifeature (D-<i>λ</i>LBP++HOG)".
J. Sensors, 2018
2017
Visual Localization across Seasons Using Sequence Matching Based on Multi-Feature Combination.
Sensors, 2017
J. Sensors, 2017
Visual Localization Based on Place Recognition Using Multi-feature Combination (D- \lambda λ LBP++HOG).
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017
2016
Proceedings of the IECON 2016, 2016
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016
2015
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015
2014
Proceedings of the Human-Inspired Computing and Its Applications, 2014