Integration of Google Play Content and Frost Prediction Using CNN: Scalable IoT Framework for Big Data

Integration of Google Play Content and Frost Prediction Using CNN: Scalable IoT Framework for Big Data

<p dir="ltr">The forecast of frost occurrence requires complex decision analysis that uses conditional probabilities. Due to frost events, the production of crops and flowers gets reduced, and we must predict this event to minimize the damages. If the frost prediction results are acc...

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Bibliographic Details
Main Author: Rana M. Amir Latif (16864170) (author)
Other Authors: Samir Brahim Brahim (16864173) (author), Saqib Saeed (16864176) (author), Laiqa Binte Imran (16864179) (author), Mazhar Sadiq (16864182) (author), Muhammad Farhan (4454434) (author)
Published: 2020
Subjects:
Earth sciences
Atmospheric sciences
Engineering
Electronics, sensors and digital hardware
Information and computing sciences
Artificial intelligence
Data management and data science
Distributed computing and systems software
Machine learning
Agriculture
Production
Temperature sensors
Google
Meteorology
Temperature distribution
CNN
Frost event
Ensemble
Prediction
Google Play store
Scraping
Measurement
Analysis
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