Detection of vegetation using unmanned aerial vehicles images: A systematic review

Enrique Ponce-Corona; Maria Guadalupe Sanchez; Daniel Fajardo-Delgado; Wilson Castro; Miguel De-La-Torre; Himer Avila-George

doi:10.1109/CIMPS49236.2019.9082434

Detection of vegetation using unmanned aerial vehicles images: A systematic review

Enrique Ponce-Corona
, Maria Guadalupe Sanchez
, Daniel Fajardo-Delgado
, Wilson Castro
, Miguel De-La-Torre
, Himer Avila-George

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

In recent years, the use of unmanned aerial vehicles for the development of agricultural and forestry applications has become popular. Given the importance of plants in both rural and urban environments, the extraction of information from data obtained by remote sensing is a highly relevant area of research. Such information is vital in urban and rural planning activities, the establishment of sustainable ecological niches, estimation of crop yields, the realization of forest inventories, the supervision of agricultural management systems, and some other agricultural applications. In this paper, we present a systematic review of the literature regarding the use of unmanned aerial vehicles in applications related to the detection of vegetation and plants inventory. Likewise, an analysis of the software used and the main computational and statistical techniques for the processing of images taken from unmanned aerial vehicles is made.

Idioma original	Inglés
Título de la publicación alojada	2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering
Editores	Mirna A. Munoz Mata, Jezreel Mejia Miranda, Gloria Piedad Gasca-Hurtado, Maria del Rosario Baltazar Flores, Abraham Eliseo Davila Ramon
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781728155555
DOI	https://doi.org/10.1109/CIMPS49236.2019.9082434
Estado	Publicada - oct. 2019
Publicado de forma externa	Sí
Evento	8th International Conference on Software Process Improvement, CIMPS 2019 - Guadalajara, Jalisco, México Duración: 23 oct. 2019 → 25 oct. 2019

Serie de la publicación

Nombre	2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering

Conferencia

Conferencia	8th International Conference on Software Process Improvement, CIMPS 2019
País/Territorio	México
Ciudad	Guadalajara, Jalisco
Período	23/10/19 → 25/10/19

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/CIMPS49236.2019.9082434

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Ponce-Corona, E., Sanchez, M. G., Fajardo-Delgado, D., Castro, W., De-La-Torre, M., & Avila-George, H. (2019). Detection of vegetation using unmanned aerial vehicles images: A systematic review. En M. A. Munoz Mata, J. M. Miranda, G. P. Gasca-Hurtado, M. D. R. B. Flores, & A. E. D. Ramon (Eds.), 2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering Artículo 9082434 (2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIMPS49236.2019.9082434

Ponce-Corona, Enrique ; Sanchez, Maria Guadalupe ; Fajardo-Delgado, Daniel et al. / Detection of vegetation using unmanned aerial vehicles images : A systematic review. 2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering. editor / Mirna A. Munoz Mata ; Jezreel Mejia Miranda ; Gloria Piedad Gasca-Hurtado ; Maria del Rosario Baltazar Flores ; Abraham Eliseo Davila Ramon. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering).

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title = "Detection of vegetation using unmanned aerial vehicles images: A systematic review",

abstract = "In recent years, the use of unmanned aerial vehicles for the development of agricultural and forestry applications has become popular. Given the importance of plants in both rural and urban environments, the extraction of information from data obtained by remote sensing is a highly relevant area of research. Such information is vital in urban and rural planning activities, the establishment of sustainable ecological niches, estimation of crop yields, the realization of forest inventories, the supervision of agricultural management systems, and some other agricultural applications. In this paper, we present a systematic review of the literature regarding the use of unmanned aerial vehicles in applications related to the detection of vegetation and plants inventory. Likewise, an analysis of the software used and the main computational and statistical techniques for the processing of images taken from unmanned aerial vehicles is made.",

keywords = "Vegetation, Vegetation; counting; inventory; image processing; algorithms, algorithms, unmanned aerial vehicles, counting, image processing, inventory, unmanned aerial vehicles",

author = "Enrique Ponce-Corona and Sanchez, \{Maria Guadalupe\} and Daniel Fajardo-Delgado and Wilson Castro and Miguel De-La-Torre and Himer Avila-George",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 8th International Conference on Software Process Improvement, CIMPS 2019 ; Conference date: 23-10-2019 Through 25-10-2019",

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doi = "10.1109/CIMPS49236.2019.9082434",

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Ponce-Corona, E, Sanchez, MG, Fajardo-Delgado, D, Castro, W, De-La-Torre, M & Avila-George, H 2019, Detection of vegetation using unmanned aerial vehicles images: A systematic review. En MA Munoz Mata, JM Miranda, GP Gasca-Hurtado, MDRB Flores & AED Ramon (eds.), 2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering., 9082434, 2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering, Institute of Electrical and Electronics Engineers Inc., 8th International Conference on Software Process Improvement, CIMPS 2019, Guadalajara, Jalisco, México, 23/10/19. https://doi.org/10.1109/CIMPS49236.2019.9082434

Detection of vegetation using unmanned aerial vehicles images: A systematic review. / Ponce-Corona, Enrique; Sanchez, Maria Guadalupe; Fajardo-Delgado, Daniel et al.
2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering. ed. / Mirna A. Munoz Mata; Jezreel Mejia Miranda; Gloria Piedad Gasca-Hurtado; Maria del Rosario Baltazar Flores; Abraham Eliseo Davila Ramon. Institute of Electrical and Electronics Engineers Inc., 2019. 9082434 (2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Detection of vegetation using unmanned aerial vehicles images

T2 - 8th International Conference on Software Process Improvement, CIMPS 2019

AU - Ponce-Corona, Enrique

AU - Sanchez, Maria Guadalupe

AU - Fajardo-Delgado, Daniel

AU - Castro, Wilson

AU - De-La-Torre, Miguel

AU - Avila-George, Himer

PY - 2019/10

Y1 - 2019/10

N2 - In recent years, the use of unmanned aerial vehicles for the development of agricultural and forestry applications has become popular. Given the importance of plants in both rural and urban environments, the extraction of information from data obtained by remote sensing is a highly relevant area of research. Such information is vital in urban and rural planning activities, the establishment of sustainable ecological niches, estimation of crop yields, the realization of forest inventories, the supervision of agricultural management systems, and some other agricultural applications. In this paper, we present a systematic review of the literature regarding the use of unmanned aerial vehicles in applications related to the detection of vegetation and plants inventory. Likewise, an analysis of the software used and the main computational and statistical techniques for the processing of images taken from unmanned aerial vehicles is made.

AB - In recent years, the use of unmanned aerial vehicles for the development of agricultural and forestry applications has become popular. Given the importance of plants in both rural and urban environments, the extraction of information from data obtained by remote sensing is a highly relevant area of research. Such information is vital in urban and rural planning activities, the establishment of sustainable ecological niches, estimation of crop yields, the realization of forest inventories, the supervision of agricultural management systems, and some other agricultural applications. In this paper, we present a systematic review of the literature regarding the use of unmanned aerial vehicles in applications related to the detection of vegetation and plants inventory. Likewise, an analysis of the software used and the main computational and statistical techniques for the processing of images taken from unmanned aerial vehicles is made.

KW - Vegetation

KW - Vegetation; counting; inventory; image processing; algorithms

KW - algorithms, unmanned aerial vehicles

KW - counting

KW - image processing

KW - inventory

KW - unmanned aerial vehicles

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U2 - 10.1109/CIMPS49236.2019.9082434

DO - 10.1109/CIMPS49236.2019.9082434

M3 - Contribución a la conferencia

AN - SCOPUS:85084973486

T3 - 2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering

BT - 2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering

A2 - Munoz Mata, Mirna A.

A2 - Miranda, Jezreel Mejia

A2 - Gasca-Hurtado, Gloria Piedad

A2 - Flores, Maria del Rosario Baltazar

A2 - Ramon, Abraham Eliseo Davila

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 23 October 2019 through 25 October 2019

ER -

Ponce-Corona E, Sanchez MG, Fajardo-Delgado D, Castro W, De-La-Torre M, Avila-George H. Detection of vegetation using unmanned aerial vehicles images: A systematic review. En Munoz Mata MA, Miranda JM, Gasca-Hurtado GP, Flores MDRB, Ramon AED, editores, 2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering. Institute of Electrical and Electronics Engineers Inc. 2019. 9082434. (2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering). doi: 10.1109/CIMPS49236.2019.9082434

Detection of vegetation using unmanned aerial vehicles images: A systematic review

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