This R Shiny app provides a real-time monitoring solution for livestock production (simulated milk yield) combined with live weather data fetched from the Open-Meteo API. The application simulates the milk yield data of dairy cows and displays it alongside live weather conditions, allowing farmers or agricultural scientists to investigate how environmental factors impact livestock productivity.
- Simulated Milk Yield Data: Generate milk yield data over a user-specified number of hours.
- Live Weather Data: Fetch live weather data (temperature and wind speed) using Open-Meteo API based on user input for latitude and longitude.
- Interactive Plot: Visualize simulated milk yield over time with an interactive line plot using
ggplot2. - Weather Information: Display real-time temperature and wind speed for the specified location.
This app is designed for:
- Dairy Farmers: Monitor milk production trends and identify correlations with weather conditions (e.g., temperature, wind speed).
- Agricultural Researchers: Study how environmental factors influence livestock behavior and productivity.
- Data Scientists: Apply data visualization and analysis techniques to agricultural problems.
To run this app locally, follow the steps below:
Ensure that you have the following installed:
You can install these R packages using the following commands in your R console:
install.packages(c("shiny", "httr", "jsonlite", "ggplot2", "dplyr"))Clone this repository to your local machine:
git clone https://github.com/yourusername/livestock-weather-monitoring.gitAfter cloning the repository, you can run the app by opening the app.R file in RStudio and clicking the "Run App" button, or by using the following command in your R console:
shiny::runApp("path_to_app_directory")Once the app is running:
- Enter the latitude and longitude for your desired location (e.g., for Dublin, enter
53.3498,-6.2603). - Specify the number of hours for which you want to simulate milk yield.
- Click the Update Data button to fetch the live weather data and generate the milk yield plot.
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UI Layout:
- Input fields for specifying location (latitude, longitude) and hours of data to simulate.
- An action button to update data and fetch the latest information.
- Output fields for displaying live weather data and an interactive plot for milk yield.
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Backend:
- The app uses the Open-Meteo API to fetch live weather information based on the user's input.
- Milk yield data is generated using a normal distribution to simulate hourly production values.
- Weather at the location: Displays the current temperature and wind speed for the specified location.
- Simulated Milk Yield Over Time: Visualizes the milk yield trend over the past specified hours.
- Integrate real sensor data: Replace the simulated milk yield data with real-world sensor data from dairy farms.
- Expand weather metrics: Add more weather metrics such as humidity, precipitation, and wind direction.
- Add predictive models: Incorporate machine learning models to forecast future milk yield based on historical weather and production data.
This project is licensed under the MIT License. See the LICENSE file for details.
- Open-Meteo API: For providing free, no-key-required weather data.
- RStudio: For providing the platform to run Shiny apps.
### **Steps to Customize**:
1. **Replace `https://github.com/yourusername/livestock-weather-monitoring.git`** with your actual GitHub repository link.
2. **Replace `path_to_your_screenshot`** with the actual path to your app screenshot within your repo (e.g., `assets/screenshot.png`).
3. Update the **License** section if you want to use a different license than MIT.
This README file will help others understand the purpose of the app, how to install and use it, and give a clear overview of its features. Feel free to adjust the future improvements and usage cases to suit your vision for the app!