Weather Classification using Convolutional Neural Network

Author(s)	Lakshmi G
Country	India
Abstract	When making various decisions , the weather is a highly significant factor that is considered. The classification of the weather appears to be particularly crucial in the industrial sector, including the development of modern transfer systems, self-driving cars, and outside visual patterns in the environment. Physical weather recognition is unclear and time-consuming by humans. The information gathered from online sources is not always available. The atmosphere is clearly visible in the photographs. Since one weather pattern can mimic another, we describe a special system for automatically extracting this information from roadside photographs. We then employ a combined approach of deep learning & artificial intelligence, with essentially no well before bounds in the pre-processing step.
Keywords	Weather, Batch Normalization, Convolutional neural network, Decision making.
Field	Computer Applications
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-06-06
Cite This	Weather Classification using Convolutional Neural Network - Lakshmi G - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.22096
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.22096
Short DOI	https://doi.org/gtxrmc

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International Journal For Multidisciplinary Research