LiDAR applications in precision agriculture for cultivating crops: A review of recent advances

被引:69
作者
Rivera, Gilberto [1 ]
Porras, Raul [1 ]
Florencia, Rogelio [1 ]
Sanchez-Solis, J. Patricia [1 ]
机构
[1] Univ Autonoma Ciudad Juarez, Div Multidisciplinaria, Ciudad Univ,Av Jose Jesus Macias Delgado 18100, Ciudad Juarez 32579, Chihuahua, Mexico
关键词
Agriculture; 5; 0; Remote sensing; Light detection and ranging; Point cloud processing; Food sustainability; TERRESTRIAL LIDAR; POINT CLOUDS; SEGMENTATION; MODELS; FRUIT; CLASSIFICATION; INFORMATION; ALGORITHM; DENSITY; VOLUME;
D O I
10.1016/j.compag.2023.107737
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
In recent years, Light Detection and Ranging (LiDAR) technology has been one of the most innovative subjects in laser scanning, remote sensing, and object detection systems. This technology may be popular because it can pinpoint structures or zones of interest in millimetre detail. It can also highlight variations and irregularities, such as surface degradation and vegetation growth. This paper presents a review of the specialised literature on LiDAR systems applied to precision agriculture; specifically, in cultivating crops. First, some preliminaries of LiDAR systems according to the mode of transport used, considering terrestrial, mobile, and aerial laser scanners, are given. Subsequently, a well-organised taxonomy of recent LiDAR applications based on the activity being performed is presented. Here, the following four categories are considered: (1) crop-related metric estimation, (2) tree and plant digitisation, (3) vision systems for object detection and navigation, and (4) planning and decision support. Lastly, we discuss some current trends and research challenges in applying LiDAR technology to cultivation activities in accordance with the state-of-the-art literature.
引用
收藏
页数:23
相关论文
共 50 条
  • [41] Recent Advances in Thermal Imaging and its Applications Using Machine Learning: A Review
    Wilson, A. N.
    Gupta, Khushi Anil
    Koduru, Balu Harshavardan
    Kumar, Abhinav
    Jha, Ajit
    Cenkeramaddi, Linga Reddy
    IEEE SENSORS JOURNAL, 2023, 23 (04) : 3395 - 3407
  • [42] Support Vector Machine in Precision Agriculture: A review
    Kok, Zhi Hong
    Shariff, Abdul Rashid Mohamed
    Alfatni, Meftah Salem M.
    Khairunniza-Bejo, Siti
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2021, 191
  • [43] A Review of Robots, Perception, and Tasks in Precision Agriculture
    Botta, Andrea
    Cavallone, Paride
    Baglieri, Lorenzo
    Colucci, Giovanni
    Tagliavini, Luigi
    Quaglia, Giuseppe
    APPLIED MECHANICS, 2022, 3 (03): : 830 - 854
  • [44] A comprehensive review on current issues and advancements of Internet of Things in precision agriculture
    Dhanasekar, S.
    COMPUTER SCIENCE REVIEW, 2025, 55
  • [45] Remote Sensing for Precision Agriculture: Sentinel-2 Improved Features and Applications
    Segarra, Joel
    Buchaillot, Maria Luisa
    Araus, Jose Luis
    Kefauver, Shawn C.
    AGRONOMY-BASEL, 2020, 10 (05):
  • [46] A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challenges
    Delavarpour, Nadia
    Koparan, Cengiz
    Nowatzki, John
    Bajwa, Sreekala
    Sun, Xin
    REMOTE SENSING, 2021, 13 (06)
  • [47] Remote Sensing and Decision Support System Applications in Precision Agriculture: Challenges and Possibilities
    Mehedi, Ibrahim M.
    Hanif, Muhammad Shehzad
    Bilal, Muhammad
    Vellingiri, Mahendiran T.
    Palaniswamy, Thangam
    IEEE ACCESS, 2024, 12 : 44786 - 44798
  • [48] Cuckoo search: recent advances and applications
    Yang, Xin-She
    Deb, Suash
    NEURAL COMPUTING & APPLICATIONS, 2014, 24 (01) : 169 - 174
  • [49] Recent trends and advances in fundus image analysis: A review
    Iqbal, Shahzaib
    Khan, Tariq M.
    Naveed, Khuram
    Naqvi, Syed S.
    Nawaz, Syed Junaid
    COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 151
  • [50] Recent advances on image edge detection: A comprehensive review
    Jing, Junfeng
    Liu, Shenjuan
    Wang, Gang
    Zhang, Weichuan
    Sun, Changming
    NEUROCOMPUTING, 2022, 503 : 259 - 271