Search Results - Canopy detection algorithm

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  1. 1

    Tea canopy detection algorithm based on multi-sensor data fusion by Han, Yu, Song, Zhiyu

    ISSN: 2772-3755, 2772-3755
    Published: Elsevier B.V 01.12.2025
    Published in Smart agricultural technology (01.12.2025)
    “…•Design an Onion Peeling algorithm for detecting tea tree canopies by fusing multi-sensor data…”
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    Journal Article
  2. 2

    A method for detecting tomato canopies’ phenotypic traits based on improved skeleton extraction algorithm by Zhu, Tianyu, Ma, Xiaodan, Guan, Haiou, Wu, Xia, Wang, Feiyi, Yang, Chen, Jiang, Qiu

    ISSN: 0168-1699, 1872-7107
    Published: Elsevier B.V 01.11.2023
    Published in Computers and electronics in agriculture (01.11.2023)
    “…•Greedy algorithm was proposed to improve the objective selection for edge collapse.•Developed a method for extracting the 3D skeletal structure of the tomato canopy…”
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    Journal Article
  3. 3

    Algorithm for Detection of Ground and Canopy Cover in Micropulse Photon-Counting Lidar Altimeter Data in Preparation for the ICESat-2 Mission by Herzfeld, Ute Christina, McDonald, Brian W., Wallin, Bruce F., Neumann, Thomas A., Markus, Thorsten, Brenner, Anita, Field, Christopher

    ISSN: 0196-2892, 1558-0644
    Published: New York, NY IEEE 01.04.2014
    “…). The mission objectives are to measure land ice elevation, sea ice freeboard, and changes in these variables, as well as to collect measurements over vegetation to facilitate canopy height determination…”
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    Journal Article
  4. 4

    Sooty Mold Detection on Citrus Tree Canopy Using Deep Learning Algorithms by Apacionado, Bryan Vivas, Ahamed, Tofael

    ISSN: 1424-8220, 1424-8220
    Published: Basel MDPI AG 17.10.2023
    Published in Sensors (17.10.2023)
    “… Recent studies used advanced and expensive hyperspectral or multispectral cameras attached to UAVs to examine the canopy of the plants and mid-range cameras to capture close-up infected leaf images…”
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    Journal Article
  5. 5

    Machine Learning-Based Plant Detection Algorithms to Automate Counting Tasks Using 3D Canopy Scans by Kartal, Serkan, Choudhary, Sunita, Masner, Jan, Kholová, Jana, Stočes, Michal, Gattu, Priyanka, Schwartz, Stefan, Kissel, Ewaut

    ISSN: 1424-8220, 1424-8220
    Published: Basel MDPI AG 01.12.2021
    Published in Sensors (Basel, Switzerland) (01.12.2021)
    “… For this, we scanned mung bean and chickpea crops with PlantEye (R) laser scanners. Firstly, we segmented the crop canopies from the background in 3D space using the Region Growing Segmentation algorithm…”
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  6. 6

    A corn canopy organs detection method based on improved DBi-YOLOv8 network by Guan, Haiou, Deng, Haotian, Ma, Xiaodan, Zhang, Tao, Zhang, Yifei, Zhu, Tianyu, Zhou, Haichao, Gu, Zhicheng, Lu, Yuxin

    ISSN: 1161-0301, 1873-7331
    Published: Elsevier B.V 01.03.2024
    Published in European journal of agronomy (01.03.2024)
    “…Corn canopy organs detection is critical in obtaining high-throughput phenotypic data…”
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    Journal Article
  7. 7

    Abnormal Electricity Detection of Users Based on Improved Canopy-Kmeans and Isolation Forest Algorithms by Wang, Jianyuan, Li, Xiaoyao

    ISSN: 2169-3536, 2169-3536
    Published: IEEE 2024
    Published in IEEE access (2024)
    “… an unsupervised isolation forest abnormal electricity consumption detection model based on the Canopy-Kmeans algorithm with weighted density improvement…”
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    Journal Article
  8. 8

    User Abnormal Viewing Behavior Detection Method Based On Canopy-FCM and Improved Isolation Forest Algorithm by Wu, Yu, Liu, Huiyong

    ISSN: 1742-6588, 1742-6596
    Published: Bristol IOP Publishing 01.02.2021
    Published in Journal of physics. Conference series (01.02.2021)
    “… a detection method of abnormal user viewing behavior based on Canopy-FCM and improved isolation forest algorithm…”
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    Journal Article
  9. 9

    Tea diseases detection based on fast infrared thermal image processing technology by Yang, Ning, Yuan, Minfeng, Wang, Pan, Zhang, Rongbiao, Sun, Jun, Mao, Hanping

    ISSN: 0022-5142, 1097-0010, 1097-0010
    Published: Chichester, UK John Wiley & Sons, Ltd 01.05.2019
    “… The tea disease detection algorithm consisted of the following steps: classify canopy infrared thermal image…”
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    Journal Article
  10. 10

    Research on Leaf Area Density Detection in Orchard Canopy Using LiDAR Technology by Ou, Mingxiong, Zhang, Yong, Yu, Zhiyong, Zhang, Jiayao, Jia, Weidong, Dong, Xiang

    ISSN: 2076-3417, 2076-3417
    Published: Basel MDPI AG 01.07.2025
    Published in Applied sciences (01.07.2025)
    “… A detection algorithm for leaf area density was proposed, and a leaf area density detection system for orchard canopies was designed based on the algorithm…”
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    Journal Article
  11. 11

    Assessment of an improved individual tree detection method based on local-maximum algorithm from unmanned aerial vehicle RGB imagery in overlapping canopy mountain forests by Chen, Shiyue, Liang, Dan, Ying, Binbin, Zhu, Wenjian, Zhou, Guomo, Wang, Yixiang

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Published: London Taylor & Francis 02.01.2021
    Published in International journal of remote sensing (02.01.2021)
    “…) were used to obtain the truth values in the plots. A novel method for semi-automatic individual tree detection was proposed based on a local-maximum algorithm and UAV-derived DSM…”
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  12. 12

    Automatic thresholding for hemispherical canopy-photographs based on edge detection by Nobis, Michael, Hunziker, Urs

    ISSN: 0168-1923, 1873-2240
    Published: Amsterdam Elsevier B.V 28.02.2005
    Published in Agricultural and forest meteorology (28.02.2005)
    “… In this article, we present an automatic threshold algorithm for separating canopy and sky by edge detection…”
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    Journal Article
  13. 13

    Community Detection and Visualization in Complex Network by the Density-Canopy-Kmeans Algorithm and MDS Embedding by Li, Manzhi, Wang, Hongtao, Long, Haixia, Xiang, Ju, Wang, Bo, Xu, Junlin, Yang, Jialiang

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 01.01.2019
    Published in IEEE access (01.01.2019)
    “… In this paper, we propose a Density-Canopy-Kmeans clustering algorithm (DCK) to detect network community structure…”
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    Journal Article
  14. 14

    The Stress Detection and Segmentation Strategy in Tea Plant at Canopy Level by Zhao, Xiaohu, Zhang, Jingcheng, Tang, Ailun, Yu, Yifan, Yan, Lijie, Chen, Dongmei, Yuan, Lin

    ISSN: 1664-462X, 1664-462X
    Published: Lausanne Frontiers Media SA 06.07.2022
    Published in Frontiers in plant science (06.07.2022)
    “… Currently, the studies on plant diseases and pest stresses mainly focus on a leaf scale. There are only a few works regarding the stress detection at a complex canopy scale…”
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  15. 15

    Crop Root Rows Detection Based on Crop Canopy Image by Liu, Yujie, Guo, Yanchao, Wang, Xiaole, Yang, Yang, Zhang, Jincheng, An, Dong, Han, Huayu, Zhang, Shaolin, Bai, Tianyi

    ISSN: 2077-0472, 2077-0472
    Published: Basel MDPI AG 01.07.2024
    Published in Agriculture (Basel) (01.07.2024)
    “…Most of the current crop row detection algorithms focus on extracting crop canopy rows as location information…”
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  16. 16

    Design and experiment of a binocular vision-based canopy volume extraction system for precision pesticide application by UAVs by Zhang, Ruirui, Lian, Shuaikai, Li, Longlong, Zhang, Linhuan, Zhang, Chaocheng, Chen, Liping

    ISSN: 0168-1699, 1872-7107
    Published: Elsevier B.V 01.10.2023
    Published in Computers and electronics in agriculture (01.10.2023)
    “… Using binocular camera ranging, this study presents a novel canopy segmentation algorithm that preprocesses light detection ranging data to extract sub-grid canopy volumes…”
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  17. 17

    The influence of conifer forest canopy cover on the accuracy of two individual tree measurement algorithms using lidar data by Falkowski, Michael J, Smith, Alistair M.S., Gessler, Paul E, Hudak, Andrew T, Vierling, Lee A, Evans, Jeffrey S

    ISSN: 0703-8992, 1712-7971
    Published: Taylor & Francis 21.11.2008
    Published in Canadian journal of remote sensing (21.11.2008)
    “… detection algorithms across a full range of canopy structure conditions. We evaluated the performance of two fundamentally different automated tree detection and measurement algorithms…”
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    Journal Article
  18. 18

    Efficiency of Individual Tree Detection Approaches Based on Light-Weight and Low-Cost UAS Imagery in Australian Savannas by Goldbergs, Grigorijs, Maier, Stefan, Levick, Shaun, Edwards, Andrew

    ISSN: 2072-4292, 2072-4292
    Published: Basel MDPI AG 01.02.2018
    Published in Remote sensing (Basel, Switzerland) (01.02.2018)
    “…The reliability of airborne light detection and ranging (LiDAR) for delineating individual trees and estimating aboveground biomass (AGB…”
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  19. 19

    Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest by Mohan, Midhun, Silva, Carlos, Klauberg, Carine, Jat, Prahlad, Catts, Glenn, Cardil, Adrián, Hudak, Andrew, Dia, Mahendra

    ISSN: 1999-4907, 1999-4907
    Published: Basel MDPI AG 11.09.2017
    Published in Forests (11.09.2017)
    “…) algorithm for automatic individual tree detection (ITD) using a local-maxima based algorithm on UAV-derived Canopy Height Models (CHMs…”
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  20. 20

    Single-Crystal Quality Detection and Evaluation Algorithms Applied to Roller Mill Orientation Instrument by Guan, Shouping, Wang, Wenqi, Guan, Tianyi

    ISSN: 0018-9456, 1557-9662
    Published: New York IEEE 2022
    “…) there is no quality detection algorithm for the plane of the crystal bar; it is, therefore, currently necessary to randomly find a crystal plane for orientation, which means that there is no guarantee of the quality of the plane after cutting and 2…”
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