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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;...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574688/ https://www.ncbi.nlm.nih.gov/pubmed/23282583 http://dx.doi.org/10.3390/s130100516 |
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author | Gil, Emilio Llorens, Jordi Llop, Jordi Fàbregas, Xavier Gallart, Montserrat |
author_facet | Gil, Emilio Llorens, Jordi Llop, Jordi Fàbregas, Xavier Gallart, Montserrat |
author_sort | Gil, Emilio |
collection | PubMed |
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 m(3)·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. |
format | Online Article Text |
id | pubmed-3574688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 Sensors (Basel) 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 m(3)·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/). |
spellingShingle | Article Gil, Emilio Llorens, Jordi Llop, Jordi Fàbregas, Xavier Gallart, Montserrat Use of a Terrestrial LIDAR Sensor for Drift Detection in Vineyard Spraying |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574688/ https://www.ncbi.nlm.nih.gov/pubmed/23282583 http://dx.doi.org/10.3390/s130100516 |
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