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

Departamento de Sistemas y Computación
Universidad Privada del Norte
Universidad de Guadalajara

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering
Editors	Mirna A. Munoz Mata, Jezreel Mejia Miranda, Gloria Piedad Gasca-Hurtado, Maria del Rosario Baltazar Flores, Abraham Eliseo Davila Ramon
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728155555
DOIs	https://doi.org/10.1109/CIMPS49236.2019.9082434
State	Published - Oct 2019
Externally published	Yes
Event	8th International Conference on Software Process Improvement, CIMPS 2019 - Guadalajara, Jalisco, Mexico Duration: 23 Oct 2019 → 25 Oct 2019

Publication series

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

Conference

Conference	8th International Conference on Software Process Improvement, CIMPS 2019
Country/Territory	Mexico
City	Guadalajara, Jalisco
Period	23/10/19 → 25/10/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger
SDG 15 Life on Land

Keywords

Vegetation
Vegetation; counting; inventory; image processing; algorithms
algorithms, unmanned aerial vehicles
counting
image processing
inventory
unmanned aerial vehicles

Access to Document

10.1109/CIMPS49236.2019.9082434

Cite this

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. In 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 Article 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).

@inproceedings{f4829a1e2f3e4b74ba349b867623e928,

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",

year = "2019",

month = oct,

doi = "10.1109/CIMPS49236.2019.9082434",

language = "Ingl{\'e}s",

series = "2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "\{Munoz Mata\}, \{Mirna A.\} and Miranda, \{Jezreel Mejia\} and Gasca-Hurtado, \{Gloria Piedad\} and Flores, \{Maria del Rosario Baltazar\} and Ramon, \{Abraham Eliseo Davila\}",

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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. in 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, Mexico, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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. In Munoz Mata MA, Miranda JM, Gasca-Hurtado GP, Flores MDRB, Ramon AED, editors, 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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