Cropy - Web Application for Imporving Yield!

Deployed at: https://crop-y.herokuapp.com/

A web application which helps boost productivity by recommending best crops to grow, best fertilizers to use and predicting diseases that might be affecting your crops.

MOTIVATION 💪

• The aim of this project is to help farmers increase their profit by suggesting best crops and fertilizers.

DATA SOURCE 📊

• Crop-recommendation-dataset
• Plant Disease Dataset
• OpenWeatherApi

Features and Interfaces

1. Landing Page & Services

   • Seamless Landing page which descibes the functions of the application.

   • 

   • Services Section which gives the brief idea on all of the services provided

   • 

2. Input Forms

   • Customized Input forms for getting user input

   • Input form for crop prediction

   • 

   • Input form for fertilizer recommendation

   • 

   • Input form for disease prediction

   • 

3. Predictions/Recommendation Pages

   • Customized Result pages which deliver the output

   • Result page for Crop Prediction, which show the name of the recommended crop

   • 

   • Result page for Fertilizer Recommendation, which gives the list of recommended suggestions on fertilizers

   • 

   • Result page for Disease Prediction, which gives the the name and info about the disease detected with the accuracy of prediction

   • 

Built with 🛠️

Installation

To clone and run this repository you'll need Git, Python and Anaconda (Optional) installed on your computer. From your command line:

# Clone this repository
git clone https://github.com/J0SAL/Cropy.git
# Go into the repository
cd Cropy
# Create & Activate Environment (optional) here's a sample code if you are running anaconda prompt
conda env create --name ENV_NAME
conda activate 
# Install dependencies
pip -r requirements.txt
# Run the app
python app.py

Contact 📞

If you have any doubt or want to contribute feel free to email me or hit me up on LinkedIn