AIDurian
AI-based Non-Invasive Grading System for Durian
Automated
Precise
Non-Invasive
Advanced
One Step Ahead
About Us
Welcome to AIDurian. We’re pioneers in reimagining durian assessment through cutting-edge AI technology. Our team combines a passion for durians with expertise in artificial intelligence to create an automated, non-invasive, and precise grading system. We’re dedicated to upholding durian quality while embracing innovation. Join us in shaping the future of durian evaluation.
Latest Updates
AIDurian leads DNSC Faculty in Advanced Computer Vision Training
On August 8, 2024, Davao del Norte State College (DNSC) held a specialized training session titled “COMPUTER VISION TRAINING FOR FACULTY” at the GAD Conference Room. The event, focused on Computer Vision for Intelligent Systems, featured Jenno Fred M. Villarino and Marlon V. Maddara from the Department of Math, Physics, and Computer Science (DMPCS) of the University of the Philippines (UP) Mindanao, specifically the AIDurian project, as the resource speakers.
AIDurian attends Durian Industry Stakeholders Technical Forum
On May 23, 2024, the City Government of Davao, through the City Agriculturist’s Office, held the Durian Industry Stakeholders Technical Forum at the Grand Men Seng Hotel in Davao City. The event gathered more than a hundred people, most of whom were local durian farmers from various parts of the Davao region.
Video Introduction
AIDurian
System Features
Introducing AIDurian, a cutting-edge solution that transforms the way durians are evaluated. By combining multispectral imaging and advanced sound analysis, our system revolutionizes durian grading. Through AI-powered algorithms, we’ve eliminated subjectivity, ensuring precise and efficient assessment. Our contactless approach respects durian’s integrity, delivering an authentic experience. Experience the future of durian evaluation with AIDurian, where technology meets tradition seamlessly.
Multispectral Imaging
Harness the power of multispectral cameras to capture intricate data beyond the naked eye, enabling comprehensive durian quality analysis.
Sound Classification
Employ cutting-edge sound analysis for accurate classification of internal durian characteristics, enhancing precision in quality assessment.
AI-Powered Grading
Utilize advanced algorithms for efficient and objective durian grading, eliminating human subjectivity from the process.
Non-Invasive Assessment
Preserve durian's sensory integrity using contactless methods for an authentic consumer experience.
Our Applications
Learn All About Us
Meet The Team
Assoc. Prof. Armacheska R. Mesa-Satina, PhD
Project Leader
Asst. Prof. Vicente B. Calag, MSCS, MCIT
Project Staff
Assoc. Prof. Vladimer B. Kobayashi, PhD
Project Staff
Prof. Emma Ruth V. Bayogan
Project Staff
Jenno Fred M. Villarino
Project Technical Specialist
Marlon V. Maddara
Project Technical Specialist
Leizel B. Secretaria
Project Technical Specialist
Mary Jean T. Recla
Administrative Aide
Student Researchers
Daniel John Cahatian
Daniel Luis Ponsica
Rod Jhon Cagay
AIDurian
What We Do
01
Integrate AI
We aim to develop a non-destructive grading system and maturity estimation model for Durian produced in Mindanao using Artificial intelligence and Imaging technologies.
02
Develop Grading System
We are developing a grading system that would supplement with the Artificial Intelligence and Imaging technologies
03
Set Standards
We will develop a standard for grading Durian maturity to help in the post-harvest.
Our Partners
Get In touch
Leave us a message
University of the Philippines Mintal, Davao City
AIDurian
Our Goal
We aim to develop a non-desctructive grading system that would set the standard in grading durians during the post-harvest process.
A/Prof. Armacheska R. Mesa-Satina, PhDProject Leader 