Kairav Bot
Completed

Jurutani - Digital Agriculture Platform

An innovative agricultural management system that integrates IoT sensors, real-time monitoring, and data analytics to help farmers optimize their crop production and resource management.

Vue.jsNode.jsMongoDBArduinoESP32MQTTChart.jsSocket.io

Project Overview

Jurutani is a comprehensive digital agriculture platform designed to revolutionize traditional farming practices through the power of IoT technology and data analytics. The platform bridges the gap between modern technology and agriculture, providing farmers with real-time insights and automated solutions to optimize their crop production.

The Challenge

Traditional farming methods often rely on intuition and experience, which can lead to:

  • Inefficient water usage and resource management
  • Delayed response to critical crop conditions
  • Limited visibility into soil and environmental factors
  • Difficulty in tracking crop performance over time
  • Manual monitoring processes that are time-consuming and prone to errors

Our Solution

Jurutani addresses these challenges by providing:

Smart Monitoring System

The platform integrates multiple IoT sensors deployed across farm fields to continuously monitor:

  • Soil moisture levels
  • Temperature and humidity
  • Light intensity
  • pH levels
  • Nutrient content

Real-Time Dashboard

A comprehensive web-based dashboard that displays:

  • Live sensor data with interactive charts
  • Historical trends and patterns
  • Weather forecasts integration
  • Crop health indicators
  • Resource usage analytics

Automated Control Systems

Intelligent automation features including:

  • Automatic irrigation based on soil moisture thresholds
  • Climate control for greenhouse environments
  • Nutrient dosing systems
  • Pest detection alerts

Technical Implementation

Frontend Architecture

Built with Vue.js 3 and the Composition API, the frontend provides:

  • Responsive design optimized for desktop and mobile devices
  • Real-time data visualization using Chart.js
  • Interactive maps showing sensor locations
  • Progressive Web App (PWA) capabilities for offline access

Backend Infrastructure

The Node.js backend handles:

  • RESTful API endpoints for data management
  • WebSocket connections for real-time updates
  • MQTT broker integration for IoT device communication
  • Data processing and analytics algorithms
  • User authentication and authorization

Database Design

MongoDB stores:

  • Time-series sensor data with efficient indexing
  • User profiles and farm configurations
  • Historical analytics and reports
  • System logs and maintenance records

IoT Integration

Hardware components include:

  • ESP32 microcontrollers for wireless connectivity
  • Various sensors (soil moisture, temperature, pH)
  • Relay modules for irrigation control
  • Solar panels for sustainable power supply

Key Features Breakdown

1. Multi-Sensor Integration

The platform supports various sensor types and can easily accommodate new sensor technologies as they become available. Each sensor is calibrated and validated to ensure accurate readings.

2. Intelligent Alerts

Advanced alerting system that notifies farmers via:

  • Email notifications
  • SMS alerts for critical situations
  • Push notifications through the mobile app
  • Dashboard notifications with severity levels

3. Data Analytics

Comprehensive analytics engine that provides:

  • Predictive modeling for crop yield
  • Resource optimization recommendations
  • Seasonal trend analysis
  • Comparative performance metrics

4. Mobile Application

Companion mobile app features:

  • Real-time monitoring on-the-go
  • Remote control of irrigation systems
  • Photo-based crop health assessment
  • Offline data synchronization

Impact and Results

Since deployment, Jurutani has demonstrated significant benefits:

  • 30% reduction in water usage through optimized irrigation
  • 25% increase in crop yield due to better monitoring
  • 50% time savings in manual monitoring tasks
  • Improved decision-making with data-driven insights

Future Enhancements

Planned improvements include:

  • Machine learning models for predictive analytics
  • Drone integration for aerial crop monitoring
  • Advanced pest and disease detection
  • Integration with agricultural marketplaces
  • Blockchain-based supply chain tracking

Lessons Learned

This project provided valuable insights into:

  • IoT device reliability in harsh outdoor environments
  • Importance of user-friendly interfaces for non-technical users
  • Scalability challenges with large sensor networks
  • Data quality management in real-world deployments

Jurutani represents a significant step towards sustainable and efficient agriculture, demonstrating how technology can enhance traditional farming practices while preserving the wisdom of experienced farmers.

Project Details

Year
2024
Duration
6 months
My Role
Full Stack Developer & IoT Specialist
Team Size
4 developers

Technologies Used

Vue.js
Node.js
MongoDB
Arduino
ESP32
MQTT
Chart.js
Socket.io

Key Features

  • Real-time soil moisture monitoring
  • Automated irrigation system control
  • Weather data integration
  • Crop growth tracking and analytics
  • Mobile-responsive dashboard
  • Alert system for critical conditions
  • Historical data visualization
  • Multi-farm management

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