Mechatronic terrestrial LiDAR for canopy porosity and crown surface estimation

被引:26
作者
Arriagada Pfeiffer, Sebastian [1 ]
Guevara, Javier [1 ]
Auat Cheein, Fernando [1 ]
Sanz, Ricardo [2 ]
机构
[1] Univ Tecn Feder Santa Maria, Dept Elect Engn, GRAI Res Grp, Av Espana 1680, Valparaiso, Chile
[2] Univ Lleida, Dept Agr & Forest Engn, Res Grp AgroICT & Precis Agr, Av Rovira Roure 191, Lleida 25198, Spain
关键词
Terrestrial LiDAR; Canopy estimation; Crown porosity; Mechatronic LiDAR; LEAF-AREA INDEX; PHOTOGRAPHY; ALGORITHM; TREES;
D O I
10.1016/j.compag.2018.01.022
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The geometric characterization of tree crops is a necessary task to obtain simple though valuable variables such as height and width of tree tops and more complex variables such as porosity and tree top surface, in which this paper focuses. To obtain these variables, a ground-based mechatronic LiDAR system and a multi-size voxels algorithm have been developed. We test the LIDAR system and our algorithms for two cases: a single tree case and a multi-tree case. In the latter, we apply our algorithms in a tree row from an avocado grove in Chile, showing that our system is portable, accurate and can offer the farmer a useful tool for crop monitoring. In addition, we compare our approach with others previously published, showing that our system is more efficient when estimating porosity and crown surface, and offers more capabilities for the decision making process in agricultural activities.
引用
收藏
页码:104 / 113
页数:10
相关论文
共 29 条
  • [1] Optimized EIF-SLAM algorithm for precision agriculture mapping based on stems detection
    Auat Cheein, F.
    Steiner, G.
    Perez Paina, G.
    Carelli, R.
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2011, 78 (02) : 195 - 207
  • [2] Bajd T, 2010, INTEL SYST CONTR AUT, V43, P9, DOI 10.1007/978-90-481-3776-3_2
  • [3] A model for deriving voxel-level tree leaf area density estimates from ground-based LiDAR
    Beland, Martin
    Widlowski, Jean-Luc
    Fournier, Richard A.
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2014, 51 : 184 - 189
  • [4] On seeing the wood from the leaves and the role of voxel size in determining leaf area distribution of forests with terrestrial LiDAR
    Beland, Martin
    Baldocchi, Dennis D.
    Widlowski, Jean-Luc
    Fournier, Richard A.
    Verstraete, Michel M.
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2014, 184 : 82 - 97
  • [5] Real-time approaches for characterization of fully and partially scanned canopies in groves
    Cheein, Fernando A. Auat
    Guivant, Jose
    Sanz, Ricardo
    Escola, Alexandre
    Yandun, Francisco
    Torres-Torriti, Miguel
    Rosell-Polo, Joan R.
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2015, 118 : 361 - 371
  • [6] SLAM-based incremental convex hull processing approach for treetop volume estimation
    Cheein, Fernando A. Auat
    Guivant, Jose
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2014, 102 : 19 - 30
  • [7] Estimation of leaf area index in isolated trees with digital photography and its application to urban forestry
    Chianucci, Francesco
    Puletti, Nicola
    Giacomello, Elena
    Cutini, Andrea
    Corona, Piermaria
    [J]. URBAN FORESTRY & URBAN GREENING, 2015, 14 (02) : 377 - 382
  • [8] A Method to Obtain Orange Crop Geometry Information Using a Mobile Terrestrial Laser Scanner and 3D Modeling
    Colaco, Andre F.
    Trevisan, Rodrigo G.
    Molin, Jose P.
    Rosell-Polo, Joan R.
    Escola, Alexandre
    [J]. REMOTE SENSING, 2017, 9 (08)
  • [9] Hackenberg J., 2015, SIMPLETREE DATASET
  • [10] Characterising forest gap fraction with terrestrial lidar and photography: An examination of relative limitations
    Hancock, Steven
    Essery, Richard
    Reid, Tim
    Carle, Joel
    Baxter, Robert
    Rutter, Nick
    Huntley, Brian
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2014, 189 : 105 - 114