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
N1 - Publisher Copyright:
© 2019 IEEE.
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
UR - https://www.scopus.com/pages/publications/85084973486
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 -
