EventsThe 6th International Electronic Conference on Atmospheric Sciences
Event submissions
Published
with-doi10.3390/ecas2023-15481
This submission belongs to the session S5. Atmospheric Techniques, Instruments, and Modeling of the event The 6th International Electronic Conference on Atmospheric Sciences
Published date
30 Oct, 2023
Academic Editor
author-avatarAnthony Lupo
Citation
M. Chandrakala, M.V Lakshmaiah, CLIMATE MONITORING AND BLACK CARBON DETECTION USING RASPBERRY PI WITH MACHINE LEARNING, in Proceedings of The 6th International Electronic Conference on Atmospheric Sciences, 15 October–30 October 2023, MDPI: Basel, Switzerland, doi: 10.3390/ecas2023-15481
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CLIMATE MONITORING AND BLACK CARBON DETECTION USING RASPBERRY PI WITH MACHINE LEARNING

image
M. Chandrakala 1
M.V Lakshmaiah 2
1. Research Scholar, S.K. University, Ananthapuramu
2. Prof. M.V. Lakshmaiah professor in department of electronics and communication with physics
Abstract
Keywords
Air pollution
Climate:Raspberry pi
Sensors:Black carbon
IOT
Manuscript
sciforum-074615 done.pdf