Abstract

Weather monitoring is generally a statistical measure or analytical measure rather than a binary decision. Weather monitoring is necessary for the development and growth of industries like agricultural, industrial and logistics. For weather monitoring, an intelligent prediction is to be done, could be done through Artificial intelligence. Artificial Intelligence is on the boon in many fields. The AI techniques are inevitable, making sense of the rapidly developing data deluge and response to the challenging recent demands in Weather Forecasting and Weather Monitoring. Machine Learning and Deep Learning are the branches of Artificial intelligence, a spellbinding technique for analyzing and predicting the provided data set. In this paper, a unique, simplified and most economical weather monitoring system is proposed through image classification techniques. In the proposed system, Internet of Things (IoT) and AI are automations used for developing model. The proposed system is to detect the weather condition using teachable machine platform to integrate the system of ESP32 camera module. That the module to detect the camera images and delivered to the virtual display of blynk application to display the output.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.