AgroSense – Smart Agriculture System

An AI-powered agriculture assistant designed to support better crop management through plant disease detection and intelligent irrigation recommendations.

Project Overview

AgroSense combines machine learning and web technologies to provide data-driven insights that help improve agricultural productivity and sustainability.

The system focuses on early disease identification and optimized water usage, enabling informed decision-making for crop health management.

Core Modules

Plant Disease Detection: Image-based disease classification using deep learning and transfer learning.
Smart Irrigation Support: Predictive analysis to assist optimal watering decisions.
Web Application Interface: Simple, accessible UI for interacting with the system.

How the System Works

User uploads a plant leaf image through the web interface
Deep learning model analyzes the image for disease detection
System displays disease status along with causes and treatment suggestions
Irrigation module provides water-related recommendations

Technology Stack

Python Flask TensorFlow Keras MobileNetV2 HTML CSS JavaScript

Use Cases

Farmers monitoring crop health and diseases
Students learning applied machine learning in agriculture
Academic demonstrations of AI-driven farming solutions

Live Demo

Explore the working AgroSense system and experience AI-powered plant disease detection and irrigation assistance.

🌱 View Live Demo

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