/agrosense

Smart Farming and Crop Management System

Primary LanguageHTML

AgroSense 🌾

Smart Farming and Crop Management using IoT, ML, and Database Integration

AgroSense is an innovative solution aimed at empowering farmers with real-time soil monitoring and crop management. By integrating IoT, machine learning, and a seamless multi-platform interface, AgroSense helps optimize farming decisions and boost crop yields.

🌟 Key Features

  • Real-Time Monitoring:
    Arduino-based soil sensors measure critical parameters like temperature, humidity, pressure, moisture, and pH levels.
  • Seamless Data Management:
    Sensor data is stored securely on Firebase for real-time access.
  • Mobile and Web Accessibility:
    Intuitive Kotlin mobile app and a responsive web platform for user interaction.
  • AI-Powered Insights:
    A machine learning model hosted on Streamlit provides actionable recommendations for optimal farming.

🚜 The Problem

Farmers often struggle with:

  • Limited real-time data on soil conditions.
  • Difficulty in making data-driven decisions for crop cultivation.
  • Suboptimal yields due to inefficient soil and crop management practices.

✅ The Solution

AgroSense bridges the gap by providing a holistic solution:

  • Real-time sensor data for informed decision-making.
  • Machine learning insights for tailored crop management strategies.
  • User-friendly interfaces for easy access to farming insights.

📷 Screenshots

Sensor Monitoring Dashboard
Dashboard Screenshot

Android Application
Android App Screenshot

🛠️ Tech Stack

Hardware

  • ESP8266: For interfacing soil sensors.
  • Sensors: Temperature, humidity, pressure, moisture, and pH.

Software

  • IoT Integration: ESP8266 gathers and sends data to Firebase.
  • Database: Firebase Realtime Database for secure and efficient data storage.
  • Mobile App: Built with Kotlin for cross-platform compatibility.
  • Web Platform: A responsive web app made with HTML, CSS and JS for desktop users.
  • Machine Learning: Streamlit-hosted ML model for predictive insights.

🚀 How It Works

  1. Data Collection:
    Soil sensors connected to Arduino capture environmental data.
  2. Data Transmission:
    The Arduino sends data to Firebase in real-time.
  3. Data Analysis:
    The machine learning model hosted on Gradio analyzes the data to provide actionable insights.
  4. User Interaction:
    Farmers access the data and insights via the mobile app or web platform.

Made With ❤️

AgroSense is crafted with love and dedication by S R Pranav Suriya.
Empowering farmers and promoting sustainable agriculture, one innovation at a time. 🌱