An AI-driven system for intelligent copra quality classification using multi-sensor data. Analyze moisture content, temperature, and color in real-time, powered by machine learning algorithms for accurate and consistent grading.
Everything you need for comprehensive copra quality assessment, from moisture analysis to detailed reporting
Collect real-time data from moisture, temperature, and color sensors for accurate copra evaluation.
Access comprehensive historical data and trends to make informed decisions about your copra quality.
Classifies copra into Grade 1, Grade 2, Grade 3, or Rejected based on trained machine learning models.
Sensor data is transmitted to a cloud-based system for fast processing and instant results.
Provides objective insights to help farmers and buyers make better pricing and quality decisions.
Your data is securely stored with industry-standard encryption and regular backups.
Sensors measure moisture, temperature, and color
Data is sent to cloud server via IoT
Machine learning analyzes the data
System outputs copra quality grade
Join thousands of copra producers, traders, and quality assurance professionals who rely on GoCopra
Across 50+ countries
Industry-leading precision
Growing community
This system is developed as part of a research study focused on improving copra quality assessment using artificial intelligence. It integrates sensor-based data acquisition and machine learning algorithms to provide objective, accurate, and real-time classification of copra quality.
Follow internationally recognized moisture testing and quality grading standards
Track and analyze quality trends with detailed reporting and visualizations
Get instant results with our optimized testing interface and real-time processing
Join hundreds of copra producers and traders who trust our platform for quality assessment.
Create Free Account