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Irrigo – Smart Irrigation Advisory System

Project Overview
  • Project Title: Irrigo – Smart Irrigation Advisory System
  • Domain: Agritech
  • Technology Stack: Java 17, Spring Data JPA, MySQL, HTML, CSS, React
  • Duration: 3 Weeks
Project Description

Irrigo is a weather-integrated irrigation advisory platform that helps farmers optimize water usage by providing crop-specific irrigation recommendations. It uses real-time weather forecasts, soil data, and crop type to generate alerts and advice on when and how much to irrigate. This reduces water wastage, improves crop yield, and supports sustainable farming practices, especially in regions prone to drought or unpredictable rainfall.

Key Objective
  • Recommend precise irrigation schedules based on crop type and weather.
  • Reduce water usage and improve irrigation efficiency.
  • Integrate real-time weather data and forecast models.
  • Alert farmers about optimal irrigation windows via SMS/email.
  • Support multiple crops with dynamic water requirement models.
  • Maintain irrigation history and generate advisory reports.
  • Improve soil and water conservation practices.
Core Feature
  • Farmer profile and land/crop registration
  • Real-time weather integration (temperature, humidity, rainfall, wind)
  • Soil moisture estimation (via sensors or user input)
  • Crop-wise water requirement engine
  • Advisory generation module (timing, amount, method of irrigation)
  • SMS/Email alerts for advisory notifications
  • Historical records of irrigation and rainfall
  • Admin panel to update crop database and regional water coefficients
  • Analytics dashboard for seasonal comparison and water savings
  • Downloadable advisory reports (PDF/Excel)

Tools & Technologies Used

Category Tools / Technologies
Language Java 17
Framework SpringBoot
ORM Spring Data JPA
Weather Api Integration OpenWeatherMap / Weatherstack / IMD APIs
optional IOT Integration MQTT/REST API for soil moisture sensors
Notifications Java Mail, Twilio (SMS)
Database MySQL (main database), Redis (cache)
Authentication & Security Spring Security + JWT
API Documentation Swagger / SpringDoc OpenAPI
Logging Log4j
FrontEnd React.js
Visualization JasperReports / Apache POI, Chart.js / Recharts
Building Tools & Dependencies Maven, Git, Jenkins
Testing Mockito, Postman (API Test)
Cloud and Deployment Docker, AWS EC2, RDS

Prerequisites

💻 System Requirements
  • Operating System: Windows / Linux / macOS
  • Minimum 8 GB RAM (16 GB recommended)
  • Java JDK 17 properly installed
  • Node.js with npm or yarn for React frontend
  • MySQL and Redis installed locally or accessible via cloud
  • Optional: Soil moisture sensor setup with MQTT/REST support
  • Docker for containerized builds and local testing
📦 Software Dependencies
  • Spring Boot for backend services
  • Spring Security + JWT for secure access
  • Spring Data JPA for ORM with MySQL
  • React.js for frontend interface
  • Redis for caching advisory data
  • OpenWeatherMap / Weatherstack / IMD API for weather integration
  • Twilio and Java Mail for SMS/email alerts
  • JasperReports / Apache POI for PDF/Excel report generation
  • Chart.js or Recharts for dashboard visualizations
🧰 Tools & Services
  • IDE: IntelliJ IDEA or Eclipse for backend, VS Code for frontend
  • API Testing Tool: Postman
  • Build Tools: Maven
  • Version Control: Git (GitHub/GitLab/Bitbucket)
  • CI/CD Tool: Jenkins
  • Deployment: AWS EC2 (app server), RDS (MySQL DB)
🌐 Technical Knowledge
  • Understanding of irrigation methods and crop water requirements
  • Working with weather APIs and interpreting forecast data
  • Familiarity with REST APIs and JWT-based security
  • Experience handling real-time alerts and notifications
  • Basic knowledge of sensor-based soil monitoring (if using IoT)
  • React-Backend integration skills for a dynamic UI
  • TechnologyJava
  • TypeWeb Application
  • Duration3 weeks
  • ModeOnline/Offline
  • CertificateYes
  • Project ReviewIncluded
  • Doubt SupportLive & Chat Support
  • Career SupportResume & Interview Tips
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