Search Results - "Yongliang Qiao"

Data augmentation for deep learning based semantic segmentation and crop-weed classification in agricultural robotics by Su, Daobilige, Kong, He, Qiao, Yongliang, Sukkarieh, Salah

“…•A data augmentation method is proposed to train deep neural nets with limited data.•Random image patching is used to generate new images for training.•Edge…”
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Real time detection of inter-row ryegrass in wheat farms using deep learning by Su, Daobilige, Qiao, Yongliang, Kong, He, Sukkarieh, Salah

“…A key challenge for autonomous precision weeding is to reliably and accurately detect weed plants and crop plants in real time to minimise damage to…”
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Deep Learning Based Automatic Grape Downy Mildew Detection by Zhang, Zhao, Qiao, Yongliang, Guo, Yangyang, He, Dongjian

“…Grape downy mildew (GDM) disease is a common plant leaf disease, and it causes serious damage to grape production, reducing yield and fruit quality…”
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The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming by Wang, Shunli, Jiang, Honghua, Qiao, Yongliang, Jiang, Shuzhen, Lin, Huaiqin, Sun, Qian

“…Pork accounts for an important proportion of livestock products. For pig farming, a lot of manpower, material resources and time are required to monitor pig…”
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AI, Sensors, and Robotics for Smart Agriculture by Zhang, Baohua, Qiao, Yongliang

“…Agriculture plays a crucial role in development, especially in low-income countries where the sector is large in terms of both aggregate income and total labor…”
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ConvNet and LSH-Based Visual Localization Using Localized Sequence Matching by Qiao, Yongliang, Cappelle, Cindy, Ruichek, Yassine, Yang, Tao

“…Convolutional Network (ConvNet), with its strong image representation ability, has achieved significant progress in the computer vision and robotic fields. In…”
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LettuceTrack: Detection and tracking of lettuce for robotic precision spray in agriculture by Hu, Nan, Su, Daobilige, Wang, Shuo, Nyamsuren, Purevdorj, Qiao, Yongliang, Jiang, Yu, Cai, Yu

“…The precision spray of liquid fertilizer and pesticide to plants is an important task for agricultural robots in precision agriculture. By reducing the amount…”
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Visual Localization across Seasons Using Sequence Matching Based on Multi-Feature Combination by Qiao, Yongliang

“…Visual localization is widely used in autonomous navigation system and Advanced Driver Assistance Systems (ADAS). However, visual-based localization in…”
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Multiframe-Based High Dynamic Range Monocular Vision System for Advanced Driver Assistance Systems by You Li, Yongliang Qiao, Ruichek, Yassine

“…In this paper, we propose a monocular multiframe high dynamic range (HDR) monocular vision system to improve the imaging quality of traditional…”
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Editorial: AI, sensors and robotics in plant phenotyping and precision agriculture by Qiao, Yongliang, Valente, João, Su, Daobilige, Zhang, Zhao, He, Dongjian

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Cattle Target Segmentation Method in Multi-Scenes Using Improved DeepLabV3+ Method by Feng, Tao, Guo, Yangyang, Huang, Xiaoping, Qiao, Yongliang

“…Obtaining animal regions and the relative position relationship of animals in the scene is conducive to further studying animal habits, which is of great…”
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Maize disease detection based on spectral recovery from RGB images by Fu, Jun, Liu, Jindai, Zhao, Rongqiang, Chen, Zhi, Qiao, Yongliang, Li, Dan

“…Maize is susceptible to infect pest disease, and early disease detection is key to preventing the reduction of maize yields. The raw data used for plant…”
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A Method for Obtaining 3D Point Cloud Data by Combining 2D Image Segmentation and Depth Information of Pigs by Wang, Shunli, Jiang, Honghua, Qiao, Yongliang, Jiang, Shuzhen

“…This paper proposes a method for automatic pig detection and segmentation using RGB-D data for precision livestock farming. The proposed method combines the…”
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Editorial: AI, sensors and robotics in plant phenotyping and precision agriculture, volume II by Su, Daobilige, Qiao, Yongliang, Jiang, Yu, Valente, João, Zhang, Zhao, He, Dongjian

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Frame vibration states identification for corn harvester based on joint improved empirical mode decomposition - Support vector machine method by Fu, Jun, Chen, Chao, Zhao, Rongqiang, Chen, Zhi, Li, Dan, Qiao, Yongliang

“…The frame of corn harvester is prone to vibration bending and torsional deformation due to the vibration caused by field road bumps and fluctuations. It poses…”
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Editorial: Increasing sustainability in livestock production systems through high-throughput phenotyping approaches by Maiorano, Amanda Marchi, Ablondi, Michela, Qiao, Yongliang, Steibel, Juan Pedro, Bernal Rubio, Yeni Liliana

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A Simple Analysis of Texture-Induced Friction Reduction Based on Surface Roughness Ratio by Ye, Jiaxin, Xuan, Jiazhou, Qiao, Yongliang, Zhang, Yifan, Zhang, Haiyang, Xu, Jimin, Liu, Xiaojun, Liu, Kun

“…The effect of surface texture on friction reduction under fluid lubrication has been broadly acknowledged in the tribology community. However, the lack of…”
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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 by Xu, Shaochun, Xu, Shuai, Zhou, Yi, Yue, Shidong, Zhang, Xiaomei, Gu, Ruiting, Zhang, Yu, Qiao, Yongliang, Liu, Mingjie

“…Seagrass meadows play critical roles in supporting a high level of biodiversity but are continuously threatened by human activities, such as sea reclamation…”
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LettuceMOT: A dataset of lettuce detection and tracking with re-identification of re-occurred plants for agricultural robots by Hu, Nan, Wang, Shuo, Wang, Xuechang, Cai, Yu, Su, Daobilige, Nyamsuren, Purevdorj, Qiao, Yongliang, Jiang, Yu, Hai, Bo, Wei, Hang

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Reciprocal Field Transplant Experiment and Comparative Transcriptome Analysis Provide Insights Into Differences in Seed Germination Time of Two Populations From Different Geographic Regions of Zostera marina L by Zhang, Yu, Xu, Shaochun, Yue, Shidong, Zhang, Xiaomei, Qiao, Yongliang, Liu, Mingjie, Zhou, Yi

“…Seagrasses are the only submerged marine higher plants, which can colonize the sea through sexual ( seeds) reproduction. The transition between seed dormancy…”
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