Search Results - "Xiong, Juntao"

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  1. 1

    Color-, depth-, and shape-based 3D fruit detection by Lin, Guichao, Tang, Yunchao, Zou, Xiangjun, Xiong, Juntao, Fang, Yamei

    Published in Precision agriculture (01-02-2020)
    “…A novel detection algorithm based on color, depth, and shape information is proposed for detecting spherical or cylindrical fruits on plants in natural…”
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    Journal Article
  2. 2

    Guava Detection and Pose Estimation Using a Low-Cost RGB-D Sensor in the Field by Lin, Guichao, Tang, Yunchao, Zou, Xiangjun, Xiong, Juntao, Li, Jinhui

    Published in Sensors (Basel, Switzerland) (21-01-2019)
    “…Fruit detection in real outdoor conditions is necessary for automatic guava harvesting, and the branch-dependent pose of fruits is also crucial to guide a…”
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  3. 3

    Fruit detection in natural environment using partial shape matching and probabilistic Hough transform by Lin, Guichao, Tang, Yunchao, Zou, Xiangjun, Cheng, Jiabing, Xiong, Juntao

    Published in Precision agriculture (01-02-2020)
    “…This paper proposes a novel technique for fruit detection in natural environments which is applicable in automatic harvesting robots, yield estimation systems…”
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    Journal Article
  4. 4

    Semantic Segmentation of Litchi Branches Using DeepLabV3+ Model by Peng, Hongxing, Xue, Chao, Shao, Yuanyuan, Chen, Keyin, Xiong, Juntao, Xie, Zhihua, Zhang, Liuhong

    Published in IEEE access (2020)
    “…Litchi is often harvested by clamping and cutting the branches, which are small and can easily be damaged by the picking robot. Therefore, the detection of…”
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  5. 5

    Application of Convolutional Neural Network-Based Detection Methods in Fresh Fruit Production: A Comprehensive Review by Wang, Chenglin, Liu, Suchun, Wang, Yawei, Xiong, Juntao, Zhang, Zhaoguo, Zhao, Bo, Luo, Lufeng, Lin, Guichao, He, Peng

    Published in Frontiers in plant science (16-05-2022)
    “…As one of the representative algorithms of deep learning, a convolutional neural network (CNN) with the advantage of local perception and parameter sharing has…”
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  6. 6

    Green Grape Detection and Picking-Point Calculation in a Night-Time Natural Environment Using a Charge-Coupled Device (CCD) Vision Sensor with Artificial Illumination by Xiong, Juntao, Liu, Zhen, Lin, Rui, Bu, Rongbin, He, Zhiliang, Yang, Zhengang, Liang, Cuixiao

    Published in Sensors (Basel, Switzerland) (25-03-2018)
    “…Night-time fruit-picking technology is important to picking robots. This paper proposes a method of night-time detection and picking-point positioning for…”
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  7. 7

    A Micro-Damage Detection Method of Litchi Fruit Using Hyperspectral Imaging Technology by Xiong, Juntao, Lin, Rui, Bu, Rongbin, Liu, Zhen, Yang, Zhengang, Yu, Lianyi

    Published in Sensors (Basel, Switzerland) (26-02-2018)
    “…The non-destructive testing of litchi fruit is of great significance to the fresh-keeping, storage and transportation of harvested litchis. To achieve quick…”
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    Journal Article
  8. 8

    A Method of Green Citrus Detection in Natural Environments Using a Deep Convolutional Neural Network by Zheng, Zhenhui, Xiong, Juntao, Lin, Huan, Han, Yonglin, Sun, Baoxia, Xie, Zhiming, Yang, Zhengang, Wang, Chenglin

    Published in Frontiers in plant science (07-09-2021)
    “…The accurate detection of green citrus in natural environments is a key step in realizing the intelligent harvesting of citrus through robotics. At present,…”
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    Journal Article
  9. 9

    Citrus Identification and Counting Algorithm Based on Improved YOLOv5s and DeepSort by Lin, Yuhan, Hu, Wenxin, Zheng, Zhenhui, Xiong, Juntao

    Published in Agronomy (Basel) (01-07-2023)
    “…A method for counting the number of citrus fruits based on the improved YOLOv5s algorithm combined with the DeepSort tracking algorithm is proposed to address…”
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  10. 10

    V-YOLO: A Lightweight and Efficient Detection Model for Guava in Complex Orchard Environments by Liu, Zhen, Xiong, Juntao, Cai, Mingrui, Li, Xiaoxin, Tan, Xinjie

    Published in Agronomy (Basel) (01-09-2024)
    “…The global agriculture industry is encountering challenges due to labor shortages and the demand for increased efficiency. Currently, fruit yield estimation in…”
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    Journal Article
  11. 11

    Holstein Cattle Face Re-Identification Unifying Global and Part Feature Deep Network with Attention Mechanism by Chen, Xiaolang, Yang, Tianlong, Mai, Kaizhan, Liu, Caixing, Xiong, Juntao, Kuang, Yingjie, Gao, Yuefang

    Published in Animals (Basel) (18-04-2022)
    “…In precision dairy farming, computer vision-based approaches have been widely employed to monitor the cattle conditions (e.g., the physical, physiology, health…”
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  12. 12

    Aerodynamic design optimization by using a continuous adjoint method by Luo, JiaQi, Xiong, JunTao, Liu, Feng

    “…This paper presents the fundamentals of a continuous adjoint method and the applications of this method to the aerodynamic design optimization of both external…”
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  13. 13

    A shadow detection and removal method for fruit recognition in natural environments by Bu, Rongbin, Xiong, Juntao, Chen, Shumian, Zheng, Zhenhui, Guo, Wentao, Yang, Zhengang, Lin, Xiaoyun

    Published in Precision agriculture (01-08-2020)
    “…Effective shadow detection and shadow removal can improve the performance of fruit recognition in natural environments and provide technical support for…”
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  14. 14

    Research on the Recognition Method of Tobacco Flue-Curing State Based on Bulk Curing Barn Environment by Xiong, Juntao, Hou, Youcong, Wang, Hang, Tang, Kun, Liao, Kangning, Yao, Yuanhua, Liu, Lan, Zhang, Ye

    Published in Agronomy (Basel) (01-10-2024)
    “…Curing modulation is one of the important processes in tobacco production, so it is crucial to recognize tobacco flue-curing states effectively and accurately…”
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  15. 15

    In-field citrus detection and localisation based on RGB-D image analysis by Lin, Guichao, Tang, Yunchao, Zou, Xiangjun, Li, Jinhui, Xiong, Juntao

    Published in Biosystems engineering (01-10-2019)
    “…In-field citrus detection and localisation are highly challenging tasks due to varying illumination conditions, partial occlusion of citrus, and the colour…”
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  16. 16

    Investigation of vortical and near-acoustic fields in three-stream jets by Adam, Andres, Xiong, Juntao, Papamoschou, Dimitri

    “…The connections between the vortical and near-acoustic fields of three-stream, high-speed jets are investigated for the ultimate purpose of developing linear…”
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  17. 17

    A visual detection method for nighttime litchi fruits and fruiting stems by Liang, Cuixiao, Xiong, Juntao, Zheng, Zhenhui, Zhong, Zhuo, Li, Zhonghang, Chen, Shumian, Yang, Zhengang

    Published in Computers and electronics in agriculture (01-02-2020)
    “…•A method was developed to detect litchis under nighttime natural environment.•An algorithm recognizing the cluster fruits and fruiting stems was…”
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  18. 18

    Event-triggered cooperative robust formation control of multi-agent systems via reinforcement learning by Zhang, Yongwei, Zhang, Jiantao, Xiong, Juntao

    “…This article develops an event-triggered cooperative robust formation control scheme for nonlinear multi-agent systems with dynamic uncertainties via…”
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  19. 19

    Investigation of vortical and near-acoustic fields in three-stream jetsa by Adam, Andres, Xiong, Juntao, Papamoschou, Dimitri

    “…The connections between the vortical and near-acoustic fields of three-stream, high-speed jets are investigated for the ultimate purpose of developing linear…”
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    Journal Article
  20. 20

    Visual detection of green mangoes by an unmanned aerial vehicle in orchards based on a deep learning method by Xiong, Juntao, Liu, Zhen, Chen, Shumian, Liu, Bolin, Zheng, Zhenhui, Zhong, Zhuo, Yang, Zhengang, Peng, Hongxing

    Published in Biosystems engineering (01-06-2020)
    “…In this paper, a visual detection method by a UAV (unmanned aerial vehicle) was proposed to detect green mangoes on the surface of the tree crown rapidly and…”
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