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@AgroGenesis

AgroGenesis

AgroGenesis 🌾

AgroGenesis is a mobile application that bridges the gap between farmers and technology. By integrating machine learning, real-time data, and essential services, AgroGenesis empowers farmers to make data-driven decisions for improved agricultural outcomes.


Features

  • Farmer-Friendly Registration 👨‍🌾
    Simple OTP-based registration to ensure ease of use.

  • Real-Time Weather Updates 🌦️
    Provides daily weather forecasts using the OpenWeather API.

  • Crop Prediction 🌱
    Suggests suitable crops based on soil parameters like Nitrogen (N), Phosphorus (P), Potassium (K), rainfall, humidity, pH, season, and region using a Random Forest Classifier ML model.

  • Supplier Network 🤝
    Connects farmers with suppliers for seeds, fertilizers, machinery, and other farming essentials.


Tech Stack

Frontend

  • Flutter: For a seamless and responsive mobile experience.

Backend

  • Firestore: For secure data storage and real-time updates.
  • Flask: Serves the machine learning models and custom APIs.

APIs

  • OpenWeather API: Real-time weather data.

Machine Learning

  • ML models for crop prediction, developed with Scikit-learn.

Popular repositories Loading

  1. Agro-Genesis-App Agro-Genesis-App Public

    Dart

  2. Agro-Genesis-Prediction-Model Agro-Genesis-Prediction-Model Public

    Jupyter Notebook

  3. .github .github Public

Repositories

Showing 3 of 3 repositories
  • .github Public
    AgroGenesis/.github’s past year of commit activity
    0 0 0 0 Updated Jan 25, 2025
  • AgroGenesis/Agro-Genesis-Prediction-Model’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Sep 27, 2024
  • AgroGenesis/Agro-Genesis-App’s past year of commit activity
    Dart 0 0 0 0 Updated Sep 6, 2024

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