TY - GEN
T1 - Use of Drones (UAVs) for Pollutant Identification in the Industrial Sector
T2 - 2022 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2022
AU - Huamanchahua, Deyby
AU - Huamanchahua, Julio C.
AU - Fanny-Flores, Fabiola
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Unmanned aerial vehicles (UAVs) began to be used at the beginning of the 20th century, but only for military purposes; however, nowadays their use has become popular in other areas such as mining, construction, security, agriculture, environment, and for research purposes. Therefore, the purpose of this article is to document a systematic review of the use of UAVs related to environmental science issues. The objective of this article is to identify the different uses of unmanned aerial vehicles (UAVs) in an environmental system that will allow the identification, quantification, and data analysis of different variables related to the area of interest such as the concentration of pollutants found within the study area. For the procedure of this article, we used different databases and scientific search engines that allowed us to obtain research conducted from 2019 to 2021. The selection of the reviewed articles was carried out, leaving 25 selected. Finally, it is concluded that more research can still be developed on environmental science topics but focused on flora for its detection, identification, quantification, or monitoring.
AB - Unmanned aerial vehicles (UAVs) began to be used at the beginning of the 20th century, but only for military purposes; however, nowadays their use has become popular in other areas such as mining, construction, security, agriculture, environment, and for research purposes. Therefore, the purpose of this article is to document a systematic review of the use of UAVs related to environmental science issues. The objective of this article is to identify the different uses of unmanned aerial vehicles (UAVs) in an environmental system that will allow the identification, quantification, and data analysis of different variables related to the area of interest such as the concentration of pollutants found within the study area. For the procedure of this article, we used different databases and scientific search engines that allowed us to obtain research conducted from 2019 to 2021. The selection of the reviewed articles was carried out, leaving 25 selected. Finally, it is concluded that more research can still be developed on environmental science topics but focused on flora for its detection, identification, quantification, or monitoring.
KW - detection
KW - drone
KW - environmental monitoring
KW - monitoring
UR - http://www.scopus.com/inward/record.url?scp=85133826520&partnerID=8YFLogxK
U2 - 10.1109/IEMTRONICS55184.2022.9795812
DO - 10.1109/IEMTRONICS55184.2022.9795812
M3 - Conference contribution
AN - SCOPUS:85133826520
T3 - 2022 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2022
BT - 2022 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2022
A2 - Chakrabarti, Satyajit
A2 - Paul, Rajashree
A2 - Gill, Bob
A2 - Gangopadhyay, Malay
A2 - Poddar, Sanghamitra
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 June 2022 through 4 June 2022
ER -