Transform Sri Lankan coffee quality assessment with advanced AI-powered computer vision. From disease detection to price forecasting, we enhance every aspect of your export excellence.
AI-Powered Coffee Research
Project Contributors
Meet the exceptional talent driving innovation in AI-powered coffee quality assessment. A collaborative team of researchers, developers, and innovators united by a vision to transform agricultural technology.
Research Project Scope
This comprehensive AI system modernizes Sri Lankan coffee production by integrating machine learning, computer vision, and data analytics across the entire value chain. From plant health monitoring to yield estimation, price forecasting, workforce planning, and automated quality assessment, our solution empowers farmers, exporters, logistics managers, and policymakers with actionable insights. By combining advanced technologies with local expertise, we enhance productivity, reduce losses, and strengthen global competitiveness.
Research Problem
Sri Lankan coffee farmers face significant challenges including disease identification delays, unpredictable market prices, inefficient resource allocation, and inconsistent quality grading. These limitations reduce productivity, increase losses, and hinder export competitiveness. There is a critical need for intelligent, data-driven decision support systems that can address these multi-faceted challenges across the entire production and export ecosystem.
Research Objectives
- Develop AI models for early identification of coffee plant diseases with high accuracy: Develop AI models for early identification of coffee plant diseases with high accuracy
- Create machine learning models to forecast coffee production under various conditions: Create machine learning models to forecast coffee production under various conditions
- Build forecasting systems for domestic and global coffee price trends: Build forecasting systems for domestic and global coffee price trends
- Develop predictive systems for labor and transportation planning: Develop predictive systems for labor and transportation planning
- Implement automated bean classification and defect detection systems: Implement automated bean classification and defect detection systems
- Create a unified platform enabling seamless data flow and decision-making: Create a unified platform enabling seamless data flow and decision-making
AI-Powered Coffee Quality System
Transforming Sri Lankan coffee production through intelligent grading, quality enhancement, and export optimization
Disease Detection & Yield Prediction
Identify coffee plant diseases using advanced image classification and predict production yield per plant or plot. Scale from small farm analysis to plantation-level forecasting.
Price & Demand Prediction
Predict global and Sri Lankan coffee prices and forecast domestic/export demand. Use economic, weather, and market data to assist farmers, exporters, and policymakers.
Resource Allocation Optimization
Predict required labor for harvesting and estimate transportation needs. Reduce costs and waiting time while optimizing schedules based on yield and weather data.
Bean Type & Grade Identification
Classify coffee bean types (Arabica, Robusta) and identify grades based on defects, size, and color. Help farmers and exporters meet global quality standards.
Disease Detection & Yield Prediction
Price & Demand Prediction
Resource Allocation Optimization
Bean Type & Grade Identification
Our Solution
A comprehensive AI-powered system leveraging advanced computer vision and machine learning to revolutionize Sri Lankan coffee quality assessment, production optimization, and global export enhancement.
Transforming Coffee Quality Through AI Innovation
Our system integrates four powerful AI modules:
Advanced AI-powered disease detection for coffee plants using real-time image analysis.
Intelligent yield prediction and optimization for enhanced productivity and quality.
Market-driven price and demand forecasting for strategic export planning.
Automated bean classification and grading to meet international quality standards.
This integrated demonstration showcases how AI transforms every stage of coffee production—from farm to export—delivering measurable improvements in quality, profitability, and sustainability.
AI-Powered Agricultural Intelligence
Tools & Technologies
This integrated AI-powered system transforms Sri Lanka's coffee value chain through three intelligent modules: an image-based disease detection and yield prediction tool for early crop protection, a market forecasting engine for price and demand analysis to guide export strategies, and a predictive resource allocator optimizing labor and transportation planning. By leveraging artificial intelligence, machine learning, and data-driven forecasting, the solution addresses challenges from farm to export — improving productivity, reducing losses, and enhancing global competitiveness for Sri Lankan coffee stakeholders.
Core Functionality
Seamless data access, real-time monitoring, and AI-driven insights for comprehensive coffee quality analysis and optimization.
Technologies & Stack
Cutting-edge AI, machine learning, cloud services, and development frameworks for fast, secure, and scalable coffee quality grading system.
PROJECT MILESTONES
Track the significant milestones achieved throughout our research journey. Each milestone represents a crucial stage of progress and key activities accomplished.
Awareness Session
Awareness session for the research project and, we had to select a supervisor.
Awareness Session
Awareness session for the research project and, we had to select a supervisor.
Topic Evaluation
In this stage the Topic we selected been evaluated.
Topic Evaluation
In this stage the Topic we selected been evaluated.
Project Proposal Presentation
A project proposal is prepared to make an offer and to try to convince a supervisor or a future customer to accept it.
Project Proposal Presentation
A project proposal is prepared to make an offer and to try to convince a supervisor or a future customer to accept it.
Progress Presentation 1
In this stage we had to show our progress up to 50%.
Progress Presentation 1
In this stage we had to show our progress up to 50%.
Research Paper
Published research findings and methodology.
Research Paper
Published research findings and methodology.
Progress Presentation 2
Demonstrated 90% progress.
Progress Presentation 2
Demonstrated 90% progress.
Thesis Submission
Thesis paper of the project.
Thesis Submission
Thesis paper of the project.
Final Presentation and viva
Finalized and Demonstrated 100% progress.
Final Presentation and viva
Finalized and Demonstrated 100% progress.
Meet Our Team
A dedicated group of passionate researchers and innovators working together to revolutionize coffee quality assessment — advancing knowledge through cutting-edge AI.
Jenny Krishara
Osuri Dunuwila
Vishva Aloka
Diwan Sachidu
Sahan Liyanage
Rumalya Mahaduruge
Contact Us
Have questions about our AI-powered coffee quality system? We'd love to hear from you. Reach out to discuss collaborations, feedback, or partnership opportunities.
Contact Information
Connect with our team for any inquiries related to the coffee quality enhancement system.
Phone
+94 70 511 3340