Popular GitHub Repositories for Humidity

Home automated terrarium/aquarium or other enclosed environment with a Raspberry Pi

The proposed system will be able to predict the crop yield production which will be useful to farmers for harvesting and storage. The system will use the weather forecasting which includes the parameters like temperature, rainfall, humidity, dew point and the normalized difference vegetation index time series from Sentinel-2 satellite for selected region. By using both the results obtained,accurate crop yield prediction can be calculated which will help farmers in planning efficiently, minimize costs and maximize yields—and profits—as a result.

Artificial neural networks model on matlab to predict wind speed. Data on wind speed, humidity, temperature and wind direction was obtained from Bagalkot wind farm, Karnataka, India, in the year 2014.

Explore accurate climate forecasting using LSTM models with our ESP32-powered sensor system. Real-time data is streamed to VS Code via Python, enabling precise temperature and humidity predictions. Seamlessly integrate sensor technology and machine learning for advanced climate monitoring.

A project focused on forecasting solar photovoltaic (PV) power generation using regional microclimate data. Implements machine learning models like CatBoost, LightGBM, and XGBoost for predictions, leveraging environmental features like temperature, humidity, wind speed, and solar radiation.

? Smart Agriculture Assistant: NLP-powered system that extracts agricultural parameters (temperature, humidity, moisture, soil type, NPK levels) from natural language input to provide crop and fertilizer recommendations. Built with NER, DeepSeek, Flask, and Docker support.

? Smart Agriculture Assistant: NLP-powered system that extracts agricultural parameters (temperature, humidity, moisture, soil type, NPK levels) from natural language input to provide crop and fertilizer recommendations. Built with NER, DeepSeek, Flask, and Docker support.