Discriminating crop, weeds and soil surface with a terrestrial LIDAR sensor

Discriminating crop, weeds and soil surface with a terrestrial LIDAR sensor

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Main Authors: Andújar, Dionisio, Rueda-Ayala, Víctor, Moreno, Hugo, Rosell-Polo, Joan Ramón, Escolá Agustí, Alexandre, Valero, Constantino, Gerhards, Roland, Fernández-Quintanilla, César, Dorado, José, Griepentrog, Hans-Werner
Format: artículo biblioteca
Published: Multidisciplinary Digital Publishing Institute 2013-10-29
Subjects:Chemical control, Weed proximal-sensing, Site-specific weed control,
Online Access:http://hdl.handle.net/10261/109044
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spelling dig-ica-es-10261-1090442021-12-28T15:49:23Z Discriminating crop, weeds and soil surface with a terrestrial LIDAR sensor Andújar, Dionisio Rueda-Ayala, Víctor Moreno, Hugo Rosell-Polo, Joan Ramón Escolá Agustí, Alexandre Valero, Constantino Gerhards, Roland Fernández-Quintanilla, César Dorado, José Griepentrog, Hans-Werner Chemical control Weed proximal-sensing Site-specific weed control This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In this study, the evaluation of the accuracy and performance of a light detection and ranging (LIDAR) sensor for vegetation using distance and reflection measurements aiming to detect and discriminate maize plants and weeds from soil surface was done. The study continues a previous work carried out in a maize field in Spain with a LIDAR sensor using exclusively one index, the height profile. The current system uses a combination of the two mentioned indexes. The experiment was carried out in a maize field at growth stage 12-14, at 16 different locations selected to represent the widest possible density of three weeds: Echinochloa crus-galli (L.) P.Beauv., Lamium purpureum L., Galium aparine L.and Veronica persica Poir. A terrestrial LIDAR sensor was mounted on a tripod pointing to the inter-row area, with its horizontal axis and the field of view pointing vertically downwards to the ground, scanning a vertical plane with the potential presence of vegetation. Immediately after the LIDAR data acquisition (distances and reflection measurements), actual heights of plants were estimated using an appropriate methodology. For that purpose, digital images were taken of each sampled area. Data showed a high correlation between LIDAR measured height and actual plant heights (R2 = 0.75). Binary logistic regression between weed presence/absence and the sensor readings (LIDAR height and reflection values) was used to validate the accuracy of the sensor. This permitted the discrimination of vegetation from the ground with an accuracy of up to 95%. In addition, a Canonical Discrimination Analysis (CDA) was able to discriminate mostly between soil and vegetation and, to a far lesser extent, between crop and weeds. The studied methodology arises as a good system for weed detection, which in combination with other principles, such as vision-based technologies, could improve the efficiency and accuracy of herbicide spraying. © 2013 by the authors; licensee MDPI, Basel, Switzerland. Peer Reviewed 2014-12-29T10:30:17Z 2014-12-29T10:30:17Z 2013-10-29 2014-12-29T10:30:17Z artículo http://purl.org/coar/resource_type/c_6501 doi: 10.3390/s131114662 issn: 1424-8220 Sensors 13: 14662-14675 (2013) http://hdl.handle.net/10261/109044 10.3390/s131114662 24172283 Publisher’s version http://dx.doi.org/10.3390/s131114662 Sí open Multidisciplinary Digital Publishing Institute
institution ICA ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-ica-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del ICA España
topic Chemical control
Weed proximal-sensing
Site-specific weed control
Chemical control
Weed proximal-sensing
Site-specific weed control
spellingShingle Chemical control
Weed proximal-sensing
Site-specific weed control
Chemical control
Weed proximal-sensing
Site-specific weed control
Andújar, Dionisio
Rueda-Ayala, Víctor
Moreno, Hugo
Rosell-Polo, Joan Ramón
Escolá Agustí, Alexandre
Valero, Constantino
Gerhards, Roland
Fernández-Quintanilla, César
Dorado, José
Griepentrog, Hans-Werner
Discriminating crop, weeds and soil surface with a terrestrial LIDAR sensor
description This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
format artículo
topic_facet Chemical control
Weed proximal-sensing
Site-specific weed control
author Andújar, Dionisio
Rueda-Ayala, Víctor
Moreno, Hugo
Rosell-Polo, Joan Ramón
Escolá Agustí, Alexandre
Valero, Constantino
Gerhards, Roland
Fernández-Quintanilla, César
Dorado, José
Griepentrog, Hans-Werner
author_facet Andújar, Dionisio
Rueda-Ayala, Víctor
Moreno, Hugo
Rosell-Polo, Joan Ramón
Escolá Agustí, Alexandre
Valero, Constantino
Gerhards, Roland
Fernández-Quintanilla, César
Dorado, José
Griepentrog, Hans-Werner
author_sort Andújar, Dionisio
title Discriminating crop, weeds and soil surface with a terrestrial LIDAR sensor
title_short Discriminating crop, weeds and soil surface with a terrestrial LIDAR sensor
title_full Discriminating crop, weeds and soil surface with a terrestrial LIDAR sensor
title_fullStr Discriminating crop, weeds and soil surface with a terrestrial LIDAR sensor
title_full_unstemmed Discriminating crop, weeds and soil surface with a terrestrial LIDAR sensor
title_sort discriminating crop, weeds and soil surface with a terrestrial lidar sensor
publisher Multidisciplinary Digital Publishing Institute
publishDate 2013-10-29
url http://hdl.handle.net/10261/109044
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