anshumanbehera27 / BharatAgroWeb

BharatAgro App

BharatAgro is a web application designed to assist farmers in making informed decisions about crop selection and fertilizer usage based on various factors such as soil composition, climate conditions, and geographical location.

Features

1. Home

• Description: The landing page provides a brief introduction to the BharatAgro App.
• Functionality: Users can navigate through different sections using the sidebar.

2. Crop Prediction

• Description: Predicts the best crop to be cultivated based on soil reports.
• Inputs: Nitrogen, Phosphorus, Potassium, Temperature, Humidity, pH, Rainfall.
• Algorithms: Utilizes machine learning models including Decision Tree, Naive Bayes, Support Vector Machine (SVM), Linear Regression, and Logistic Regression, trained on soil data to make predictions.
• Output: Displays the recommended crop for cultivation.

3. Fertilizer Prediction

• Description: Predicts the best fertilizer to use based on soil reports and crop type.
• Inputs: Temperature, Humidity, Soil Moisture, Soil Type, Crop Type, Nitrogen, Phosphorus, Potassium.
• Algorithm: Utilizes a Random Forest Classifier, trained on fertilizer data to make predictions.
• Output: Displays the recommended fertilizer for use in the field.

4. Crop Location

• Description: Predicts the best crop to be cultivated based on geographical location.
• Inputs: State Name, District Name, Season.
• Functionality: Retrieves crop data based on the provided location from a predefined mapping.
• Output: Displays the recommended crop for cultivation in the specified location.

webApp images

Getting Started

1. Clone the repository to your local machine.

   git clone  https://github.com/anshumanbehera27/BharatAgroWeb.git

2. Install the required dependencies by running the following command in your terminal:

   pip install -r requirements.txt

3. Run the application by executing the following command in your terminal:

   streamlit run app.py

4. Access the application in your web browser at the provided URL. BhartAgroApp

Contributing

Contributions are welcome! If you have any suggestions or improvements, feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License.