Agromate - Tea Cultivation Diagnostic Platform

Lead Full-Stack Developer · 2024 · 6 months · 2 people · 2 min read

Empowered planters with real-time data, reducing crop loss and manual errors

Overview

Built a comprehensive diagnostic platform for tea industry disease management and fertilizer recommendations

Problem

Tea planters relied on manual methods for disease identification and treatment, leading to delayed responses, crop losses, and inefficient use of fertilizers and treatments.

Constraints

  • Offline capability for remote plantation areas
  • Simple interface for non-technical users
  • Real-time diagnostic capabilities
  • Integration with weather data APIs

Approach

Developed a diagnostic engine using PHP and MySQL that provides instant fertilizer and treatment recommendations based on uploaded leaf images and symptom descriptions.

Key Decisions

Image-based disease detection

Reasoning:

Visual diagnosis is more accurate and accessible for plantation workers

Alternatives considered:
  • Text-based questionnaire
  • Third-party AI services

Offline-first mobile app

Reasoning:

Plantations often have poor connectivity; offline access ensures reliability

Alternatives considered:
  • Web-only application
  • Native iOS/Android apps

Tech Stack

  • PHP
  • MySQL
  • JavaScript
  • Bootstrap
  • Android (Kotlin)
  • REST APIs

Result & Impact

  • 50+ tea estates
    Plantations Covered
  • 85% accuracy
    Disease Detection Accuracy
  • 40% decrease
    Crop Loss Reduction

Revolutionized disease management in the tea industry by providing instant, data-driven recommendations to plantation workers and managers.

Tech Stack

PHPMySQLJavaScriptBootstrapAndroid (Kotlin)REST APIs

Learnings

  • Working with domain experts (agronomists) improves solution quality
  • Offline capabilities are essential for rural deployment
  • User training is as important as technical implementation

Project Details

Agromate is a groundbreaking platform that digitizes disease management for the Sri Lankan tea industry. As the lead developer, I worked closely with agronomists and plantation managers to create a solution that addresses real challenges faced by tea planters.

Key Features

  • Disease Diagnosis: Upload leaf images for instant disease identification
  • Treatment Recommendations: Get precise fertilizer and treatment suggestions
  • Weather Integration: Historical and real-time weather data for better decision-making
  • Treatment History: Track effectiveness of previous treatments
  • Expert Consultation: Connect with agronomists for complex cases
  • Analytics Dashboard: Monitor disease trends across plantations

Technical Implementation

The platform combines PHP backend with MySQL database, featuring a responsive web interface for field workers and a native Android app for offline capabilities in remote plantation areas.

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