Student Research Reports
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A Study of Weather Conditions for Developing a Local Weather Forecast Web Application
Organization(s):Princess Chulabhorn Science High School Trang
Country:Thailand
Student(s):Kasidach Pratheep Na Thalang, Teerawat Saenum and Natthawat Soontreewong
Grade Level:Secondary School (grades 9-12, ages 14-18)
GLOBE Educator(s):Patchara Pongmanawut
Contributors:Assoc. Prof. Dr. Mullica Jaroensutasinee and Assoc. Prof. Dr. Krisanadej Jaroensutasinee from Walailak University
Dr. Anantanit Chumsri from Rajamangala University of Technology Srivijaya Trang campus
The Institute for the Promotion of Teaching Science and Technology (IPST)
Report Type(s):International Virtual Science Symposium Report, Standard Research Report
Protocols:Air Temperature, Precipitation, Relative Humidity
Presentation Video:
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Presentation Poster:
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Language(s):English
Date Submitted:2024-03-06
Currently, Thailand has 1-2 weather stations per province to collect weather data, analyze and forecast daily. However, due to the diverse topography within provinces and the unstable weather, forecasting has become more difficult. Therefore, we would like to study weather conditions, including temperature, humidity, and rainfall, in each district of Trang province. Then we retrieve data from weather station. And processing by LSTM model to forecast weather data to display on web application and LINE Chatbot. Statistical analysis revealed significant differences in temperature and rainfall amounts in each district at a statistically significant level of .05. Thus, we aim to create a web application for reporting specific area weather conditions via a Chatbot with 100% accuracy. Additionally, weather forecasting using an AI-powered web application, utilizing neural networks called Long Short-Term Memory (LSTM), has achieved 85% accuracy. Interested individuals can access this information through the web application or LINE Chatbot, facilitating planning for various activities.