Farm-AI is a mobile application designed to assist farmers in optimizing their farming practices. It utilizes weather data and machine learning algorithms to provide farmers with valuable insights for efficient farming.
- Weather Forecast: Get real-time weather updates and forecasts for your farm location.
- Rain Prediction: Receive predictions about the possibility of rain, helping you plan irrigation and other farming activities.
- Crop Recommendations: Based on the weather conditions and climate of your area, receive recommendations on suitable crops to cultivate.
- Farming Techniques: Learn about various farming techniques such as furrowing, hole digging, and flat land cultivation through interactive animations and guides.
- Crop Care: Access information about crop care practices, including fertilization, pest control, and disease management.
- Notifications: Receive timely alerts and notifications about important farming tasks and weather changes.
The Farm-AI app can be accessed through the following platforms:
- Play Store: Android users can download the app from the Play Store by searching for "Farm-AI" and installing it on their devices.
- App Store: iOS users can find and download the app from the App Store by searching for "Farm-AI" and installing it on their iPhones or iPads.
- Microsoft Store: Windows users can access the app by downloading it from the Microsoft Store. Search for "Farm-AI" and install it on your Windows devices.
- Website: Visit our official website at www.farm-ai.com to find download links for various platforms.
Please note that the app is not available directly through this repository. The repository contains the source code of the app, which can be used for development purposes or for contributing to the project.
The Farm-AI app is built using the following technologies:
- Flutter: A cross-platform framework for developing mobile applications.
- Java: Backend development using Java programming language.
- Weather API: Integration with a weather API to fetch weather data.
- Machine Learning: Implementing machine learning algorithms for rain prediction and crop recommendations.
Contributions are welcome! If you find any issues or have suggestions for improvement, please submit an issue or create a pull request.
This project is licensed under the MIT License.