LIDAR and non-LIDAR-based canopy parameters to estimate the leaf area in fruit trees and vineyard

Agricultural and Forest Meteorology - Tập 260-261 - Trang 229-239 - 2018
Ricardo Sanz1, Jordi Llorens1, Alexandre Escolà1, Jaume Arnó1, Santiago Planas1, Carla Román1, Joan R. Rosell-Polo1
1Department of Agricultural and Forest Engineering, Research Group in AgroICT and Precision Agriculture, University of Lleida–Agrotecnio Center, Rovira Roure, 191, Lleida, Spain

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Arnó, 2013, Leaf area index estimation in vineyards using a ground-based LiDAR scanner, Precis. Agric., 14, 290, 10.1007/s11119-012-9295-0

Arnó, 2015, Influence of the scanned side of the row in terrestrial laser sensor applications in vineyards: practical consequences, Precis. Agric., 16, 119, 10.1007/s11119-014-9364-7

Auat Cheein, 2015, Real-time approaches for characterization of fully and partially scanned canopies in groves, Comput. Electron. Agric., 118, 361, 10.1016/j.compag.2015.09.017

Ballesteros, 2015, Characterization of Vitis vinifera L. canopy using unmanned aerial vehicle-based remote sensing and photogrammetry techniques, Am. J. Enol. Vitic., 66, 120, 10.5344/ajev.2014.14070

Chianucci, 2014, Estimation of leaf area index in understory deciduous trees using digital photography, Agric. For. Meteorol, 198–199, 259, 10.1016/j.agrformet.2014.09.001

Cohen, 2005, Physiological responses of leaves, tree growth and fruit yield of grapefruit trees under reflective shade screens, Sci. Hortic. (Amsterdam), 107, 25, 10.1016/j.scienta.2005.06.004

De Bei, 2016, VitiCanopy: a free computer app to estimate canopy vigor and porosity for grapevine, Sensors, 16, 585, 10.3390/s16040585

Diago, 2012, Grapevine yield and leaf area estimation using supervised classification methodology on RGB images taken under Field conditions, Sensors, 12, 16988, 10.3390/s121216988

Doring, 2014, Indirect estimation of leaf area index in VSP-trained grapevines using plant area index, Am. J. Enol. Vitic., 65, 153, 10.5344/ajev.2013.13073

Du, 2017, Water use efficiency is improved by alternate partial root-zone irrigation of apple in arid northwest China, Agric. Water Manag., 179, 184, 10.1016/j.agwat.2016.05.011

Escolà, 2011, Performance of an ultrasonic ranging sensor in apple tree canopies, Sensors, 11, 2459, 10.3390/s110302459

Escolà, 2017, Mobile terrestrial laser scanner applications in precision fruticulture/horticulture and tools to extract information from canopy point clouds, Precis. Agric., 18, 111, 10.1007/s11119-016-9474-5

Fang, 2014, Seasonal variation of leaf area index (LAI) over paddy rice fields in NE China: intercomparison of destructive sampling, LAI-2200, digital hemispherical photography (DHP), and AccuPAR methods, Agric. For. Meteorol. 198–199, 126, 10.1016/j.agrformet.2014.08.005

Fernández, 2008, Foliar fertilization of peach (Prunus persica (L.) Batsch) with different iron formulations: effects on re-greening, iron concentration and mineral composition in treated and untreated leaf surfaces, Sci. Hortic. (Amsterdam), 117, 241, 10.1016/j.scienta.2008.05.002

Fuentes, 2014, Automated estimation of leaf area index from grapevine canopies using cover photography, video and computational analysis methods, Aust. J. Grape Wine Res., 20, 465, 10.1111/ajgw.12098

Hernandez-Santana, 2017, Photosynthetic limitations by water deficit: effect on fruit and olive oil yield, leaf area and trunk diameter and its potential use to control vegetative growth of super-high density olive orchards, Agric. Water Manag., 184, 9, 10.1016/j.agwat.2016.12.016

Jonckheere, 2004, Review of methods for in situ leaf area index determination, Agric. For. Meteorol., 121, 19, 10.1016/j.agrformet.2003.08.027

Kliewer, 2005, Leaf area/crop weight ratios of grapevines: influence on fruit composition and wine quality, Am. J. Enol. Vitic., 562, 19

Liu, 2013, Canopy leaf area index for apple tree using hemispherical photography in arid region, Sci. Hortic. (Amsterdam)., 164, 610, 10.1016/j.scienta.2013.10.009

Liu, 2013, Assessment of in situ crop LAI measurement using unidirectional view digital photography, Agric. For. Meteorol., 169, 25, 10.1016/j.agrformet.2012.10.009

Llop, 2016, Testing the suitability of a terrestrial 2D LiDAR scanner for canopy characterization of greenhouse tomato crops, Sensors, 16, 1435, 10.3390/s16091435

Llorens, 2011, Ultrasonic and LIDAR sensors for electronic canopy characterization in vineyards: advances to improve pesticide application methods, Sensors, 11, 2177, 10.3390/s110202177

Llorens, 2011, Georeferenced LiDAR 3D vine plantation map generation, Sensors, 11, 6237, 10.3390/s110606237

Méndez, 2013, LiDAR simulation in modelled orchards to optimise the use of terrestrial laser scanners and derived vegetative measures, Biosyst. Eng., 115, 7, 10.1016/j.biosystemseng.2013.02.003

Moorthy, 2008, Retrieving crown leaf area index from an individual tree using ground-based lidar data, Can. J. Remote Sens., 34, 320, 10.5589/m08-027

Mora, 2016, Automated computation of leaf area index from fruit trees using improved image processing algorithms applied to canopy cover digital photograpies, Comput. Electron. Agric., 123, 195, 10.1016/j.compag.2016.02.011

Palmer, 1992, Effect of apple tree spacing and summer pruning on leaf area distribution and light interception, Sci. Hortic. Elsevier Sci. Publ. B, V 52, 303, 10.1016/0304-4238(92)90031-7

Pascuzzi, 2017, Foliar spray deposition in a “tendone” vineyard as affected by airflow rate, volume rate and vegetative development, Crop Prot., 91, 34, 10.1016/j.cropro.2016.09.009

Pereira, 2007, Sap flow, leaf area, net radiation and the Priestley–Taylor formula for irrigated orchards and isolated trees, Agric. Water Manag., 92, 48, 10.1016/j.agwat.2007.01.012

Pfeiffer, 2018, Mechatronic terrestrial LiDAR for canopy porosity and crown surface estimation, Comput. Electron. Agric., 146, 104, 10.1016/j.compag.2018.01.022

Planas, 2013, Advances in pesticide dose adjustment in tree crops, Proc. Precis. Agric., 13, 533

Poblete-Echeverría, 2015, Digital cover photography for estimating leaf area index (LAI) in apple trees using a variable light extinction coefficient, Sensors (Basel)., 15, 2860, 10.3390/s150202860

Rosell, 2012, A review of methods and applications of the geometric characterization of tree crops in agricultural activities, Comput. Electron. Agric., 81, 124, 10.1016/j.compag.2011.09.007

Rosell, 2009, Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning, Agric. For. Meteorol., 149, 1505, 10.1016/j.agrformet.2009.04.008

Rosell Polo, 2009, A tractor-mounted scanning LIDAR for the non-destructive measurement of vegetative volume and surface area of tree-row plantations: a comparison with conventional destructive measurements, Biosyst. Eng., 102, 128, 10.1016/j.biosystemseng.2008.10.009

Sanz, 2013, Relationship between tree row LIDAR-volume and leaf area density for fruit orchards and vineyards obtained with a LIDAR 3D dynamic measurement system, Agric. For. Meteorol., 171–172, 153, 10.1016/j.agrformet.2012.11.013

Sanz-Cortiella, 2011, Innovative LIDAR 3D dynamic measurement system to estimate fruit-tree leaf area, Sensors, 11, 10.3390/s110605769

Siegfried, 2007, Dosage of plant protection products adapted to leaf area index in viticulture, Crop Prot., 26, 73, 10.1016/j.cropro.2006.04.002