Problem Statement

Problem Statement ID - PY090

• Smart Farming For Precision Agriculture

OVERVIEW

This project develops an IoT-based Smart Farming System to monitor soil moisture, temperature, and environmental factors for optimizing crop growth. It provides data-driven insights and automated irrigation controls to enhance yields and reduce resource usage. Using sensors, a microcontroller, and a web application, the system enables precision agriculture by delivering real-time data and efficient irrigation scheduling, ensuring sustainable and cost-effective farming practices.

TEAM MEMBERS

Team ID - T028

• Dharshika Pugalenthi - Team Leader
• Abirami R - Team member
• Praneash Shiva S R - Team member
• Samruthi G P - Team member
• Santhosh Kumar - Team member
• Balamurugan R - Team member

Team Photo

TECHNICAL STACK

• Hardware: ESP32,Temperature and humidity sensor, pH sensor, GSM module, Relay Module, PIR sensor, Buzzer module, Solenoid Pump, Moisture sensor, LCD display
• Backend: Flask
• Frontend: HTML, CSS, BootStrap
• Database: SQL
• Other Tools: Git

Getting Started

Follow these steps to clone and run the application locally.

Prerequisites

1. Install Python.
2. Install Git.
3. Clone this repository: bash git clone https://github.com/PYEXPO25/T028_HACKAHOLICS.git
4. Install Flask.
5. Install Sql.

Installation

1. Navigate to the project directory: bash cd T028_HACKAHOLICS
2. Create a virtual environment: bash python -m venv venv
3. Activate the virtual environment:
   • • On Windows: bash venv\Scripts\activate
     • On macOS\Linux: bash source venv/ bin/ activate
4. Install dependencies: bash pip install -r requirements.txt
5. Navigate to source bash cd source

Start the Application

1. Run the Flask application: bash flask run
2. Open your browser and navigate to : http://127.0.0.1:5000

UI Overview

Images to demonstrate the user interface:

• Example pages:

1. Landing page : Click here to view the Landing Page
2. Dashboard: Click here to view the Dashboard
3. Chatbot: Click here to view the Chatbot image

Resources

1. PowerPoint Presentation: Click here to view the Landing Page
2. Youtube link: Click here to view the Landing Page