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Agrotech Project

Welcome to the Agrotech project! Our goal is to use smart technology to improve farming. We're creating tools like crop advice, predicting fertilizers, estimating crop yields, analyzing soil, detecting plant diseases, enabling smart farming practices, and building a supportive farming community.

Technologies Used

• Programming Language:
  • Python
  • React
  • Flask
• Libraries and Frameworks:
  • PyQt5
  • NumPy
  • Pandas
  • Matplotlib
  • TensorFlow
  • Scikit-learn
  • Keras
  • OpenCV
  • PyMongo
• Deep Learning Models:
  • VGG16
  • Convolutional Neural Networks (CNNs)
  • Random Forest Classifier
  • Gaussian Naive Bayes
• Database: MongoDB

How to Run the Project

1. Clone the Repository:

   git clone https://github.com/your-username/agrotech-project.git
   cd agrotech-project
   

2. Install Dependencies:

   cd ml
   pip install -r requirements.txt
   

   cd agrotech
   npm install
   

3. Setup MongoDB:

   • Install MongoDB and start the MongoDB service.

4. Run the Application:

   #For backend
   python main.py
   #For frontend
   npm start
   

Functionalities

1. Crop Recommendation:
2. Fertilizer Prediction:
3. Crop Yield Estimation:
4. Soil Analysis:
5. Plant Disease Detection:
6. Farmer Community
7. Smart Farming

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