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Web and MATLAB-Based Platform for UAV Flight Management and Multispectral Image Processing
The deployment of any UAV application in precision agriculture involves the development of several tasks, such as path planning and route optimization, images acquisition, handling emergencies, and mission validation, to cite a few. UAVs applications are also subject to common constraints, such as w...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185643/ https://www.ncbi.nlm.nih.gov/pubmed/35684864 http://dx.doi.org/10.3390/s22114243 |
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author | Aliane, Nourdine Muñoz, Carlos Quiterio Gomez Sánchez-Soriano, Javier |
author_facet | Aliane, Nourdine Muñoz, Carlos Quiterio Gomez Sánchez-Soriano, Javier |
author_sort | Aliane, Nourdine |
collection | PubMed |
description | The deployment of any UAV application in precision agriculture involves the development of several tasks, such as path planning and route optimization, images acquisition, handling emergencies, and mission validation, to cite a few. UAVs applications are also subject to common constraints, such as weather conditions, zonal restrictions, and so forth. The development of such applications requires the advanced software integration of different utilities, and this situation may frighten and dissuade undertaking projects in the field of precision agriculture. This paper proposes the development of a Web and MATLAB-based application that integrates several services in the same environment. The first group of services deals with UAV mission creation and management. It provides several pieces of flight conditions information, such as weather conditions, the KP index, air navigation maps, or aeronautical information services including notices to Airmen (NOTAM). The second group deals with route planning and converts selected field areas on the map to an UAV optimized route, handling sub-routes for long journeys. The third group deals with multispectral image processing and vegetation indexes calculation and visualizations. From a software development point of view, the app integrates several monolithic and independent programs around the MATLAB Runtime package with an automated and transparent data flow. Its main feature consists in designing a plethora of executable MATLAB programs, especially for the route planning and optimization of UAVs, images processing and vegetation indexes calculations, and running them remotely. |
format | Online Article Text |
id | pubmed-9185643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91856432022-06-11 Web and MATLAB-Based Platform for UAV Flight Management and Multispectral Image Processing Aliane, Nourdine Muñoz, Carlos Quiterio Gomez Sánchez-Soriano, Javier Sensors (Basel) Article The deployment of any UAV application in precision agriculture involves the development of several tasks, such as path planning and route optimization, images acquisition, handling emergencies, and mission validation, to cite a few. UAVs applications are also subject to common constraints, such as weather conditions, zonal restrictions, and so forth. The development of such applications requires the advanced software integration of different utilities, and this situation may frighten and dissuade undertaking projects in the field of precision agriculture. This paper proposes the development of a Web and MATLAB-based application that integrates several services in the same environment. The first group of services deals with UAV mission creation and management. It provides several pieces of flight conditions information, such as weather conditions, the KP index, air navigation maps, or aeronautical information services including notices to Airmen (NOTAM). The second group deals with route planning and converts selected field areas on the map to an UAV optimized route, handling sub-routes for long journeys. The third group deals with multispectral image processing and vegetation indexes calculation and visualizations. From a software development point of view, the app integrates several monolithic and independent programs around the MATLAB Runtime package with an automated and transparent data flow. Its main feature consists in designing a plethora of executable MATLAB programs, especially for the route planning and optimization of UAVs, images processing and vegetation indexes calculations, and running them remotely. MDPI 2022-06-02 /pmc/articles/PMC9185643/ /pubmed/35684864 http://dx.doi.org/10.3390/s22114243 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Aliane, Nourdine Muñoz, Carlos Quiterio Gomez Sánchez-Soriano, Javier Web and MATLAB-Based Platform for UAV Flight Management and Multispectral Image Processing |
title | Web and MATLAB-Based Platform for UAV Flight Management and Multispectral Image Processing |
title_full | Web and MATLAB-Based Platform for UAV Flight Management and Multispectral Image Processing |
title_fullStr | Web and MATLAB-Based Platform for UAV Flight Management and Multispectral Image Processing |
title_full_unstemmed | Web and MATLAB-Based Platform for UAV Flight Management and Multispectral Image Processing |
title_short | Web and MATLAB-Based Platform for UAV Flight Management and Multispectral Image Processing |
title_sort | web and matlab-based platform for uav flight management and multispectral image processing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185643/ https://www.ncbi.nlm.nih.gov/pubmed/35684864 http://dx.doi.org/10.3390/s22114243 |
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