Weather Forecasting Using Artificial Neural Network for Rice Farming in Delanggu Village
Faisal Najib, I Wayan Mustika · IOP Conference Series Earth and Environmental Science · 2022
Abstract Extreme climate change results in unpredictable weather patterns. This problem brings an impact particularly for rice farmers. Weather prediction system can help farmers to make the right decisions before weather changes occur. However, the coverage of the current weather station system is too wide, resulting in low accuracy and effectiveness of weather forecasts. Therefore, a local weather prediction system based on the Internet of Things (IoT) has been developed. With the help of machine learning (Artificial Neural Network algorithm), this system can predict the weather in the next three days. This will help farmers in making the right decisions in dealing with their rice field problems. The ANN model with 40 training cycles and 7 hidden layers is the best combination in producing accurate weather predictions.