Use of a Terrestrial LIDAR Sensor for Drift Detection in Vineyard Spraying

The use of a scanning Light Detection and Ranging (LIDAR) system to characterize drift during pesticide application is described. The LIDAR system is compared with an ad hoc test bench used to quantify the amount of spray liquid moving beyond the canopy. Two sprayers were used during the field test;...

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Main Authors:	Gil, Emilio, Llorens, Jordi, Llop, Jordi, Fàbregas, Xavier, Gallart, Montserrat
Format:	Online
Language:	English
Published:	MDPI 2013
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574688/

id	pubmed-3574688
recordtype	oai_dc
spelling	pubmed-35746882013-02-25 Use of a Terrestrial LIDAR Sensor for Drift Detection in Vineyard Spraying Gil, Emilio Llorens, Jordi Llop, Jordi Fàbregas, Xavier Gallart, Montserrat Article The use of a scanning Light Detection and Ranging (LIDAR) system to characterize drift during pesticide application is described. The LIDAR system is compared with an ad hoc test bench used to quantify the amount of spray liquid moving beyond the canopy. Two sprayers were used during the field test; a conventional mist blower at two air flow rates (27,507 and 34,959 m3·h−1) equipped with two different nozzle types (conventional and air injection) and a multi row sprayer with individually oriented air outlets. A simple model based on a linear function was used to predict spray deposit using LIDAR measurements and to compare with the deposits measured over the test bench. Results showed differences in the effectiveness of the LIDAR sensor depending on the sprayed droplet size (nozzle type) and air intensity. For conventional mist blower and low air flow rate; the sensor detects a greater number of drift drops obtaining a better correlation (r = 0.91; p < 0.01) than for the case of coarse droplets or high air flow rate. In the case of the multi row sprayer; drift deposition in the test bench was very poor. In general; the use of the LIDAR sensor presents an interesting and easy technique to establish the potential drift of a specific spray situation as an adequate alternative for the evaluation of drift potential. MDPI 2013-01-02 /pmc/articles/PMC3574688/ /pubmed/23282583 http://dx.doi.org/10.3390/s130100516 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Gil, Emilio Llorens, Jordi Llop, Jordi Fàbregas, Xavier Gallart, Montserrat
spellingShingle	Gil, Emilio Llorens, Jordi Llop, Jordi Fàbregas, Xavier Gallart, Montserrat Use of a Terrestrial LIDAR Sensor for Drift Detection in Vineyard Spraying
author_facet	Gil, Emilio Llorens, Jordi Llop, Jordi Fàbregas, Xavier Gallart, Montserrat
author_sort	Gil, Emilio
title	Use of a Terrestrial LIDAR Sensor for Drift Detection in Vineyard Spraying
title_short	Use of a Terrestrial LIDAR Sensor for Drift Detection in Vineyard Spraying
title_full	Use of a Terrestrial LIDAR Sensor for Drift Detection in Vineyard Spraying
title_fullStr	Use of a Terrestrial LIDAR Sensor for Drift Detection in Vineyard Spraying
title_full_unstemmed	Use of a Terrestrial LIDAR Sensor for Drift Detection in Vineyard Spraying
title_sort	use of a terrestrial lidar sensor for drift detection in vineyard spraying
description	The use of a scanning Light Detection and Ranging (LIDAR) system to characterize drift during pesticide application is described. The LIDAR system is compared with an ad hoc test bench used to quantify the amount of spray liquid moving beyond the canopy. Two sprayers were used during the field test; a conventional mist blower at two air flow rates (27,507 and 34,959 m3·h−1) equipped with two different nozzle types (conventional and air injection) and a multi row sprayer with individually oriented air outlets. A simple model based on a linear function was used to predict spray deposit using LIDAR measurements and to compare with the deposits measured over the test bench. Results showed differences in the effectiveness of the LIDAR sensor depending on the sprayed droplet size (nozzle type) and air intensity. For conventional mist blower and low air flow rate; the sensor detects a greater number of drift drops obtaining a better correlation (r = 0.91; p < 0.01) than for the case of coarse droplets or high air flow rate. In the case of the multi row sprayer; drift deposition in the test bench was very poor. In general; the use of the LIDAR sensor presents an interesting and easy technique to establish the potential drift of a specific spray situation as an adequate alternative for the evaluation of drift potential.
publisher	MDPI
publishDate	2013
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574688/
_version_	1611955577748979712

Use of a Terrestrial LIDAR Sensor for Drift Detection in Vineyard Spraying

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