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IoT-Enabled Automated

Variety Recognition &
Maturity-Based Sorting

Farmers Organization for the Rural
Upliftment of Mindoro Agri. Corporation

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Mission Icon

OUR MISSION

To revolutionize mango farming operations by providing an automated, efficient, and accurate solution for classifying mango varieties and assessing their maturity levels.

Vision Icon

OUR VISION

A future where mango farming is transformed through automation, precision, and efficiency.

Core Values Icon

OBJECTIVES

  • Develop an automated mango sorting system
  • Classify mango varieties
  • Detect mango ripeness
  • Integrate real-time data analytics
  • Display data using visual tools
  • Ensure a user-friendly interface

Industry Insights

Why Automated Mango Sorting?

The global mango market demands precision, quality, and efficiency in sorting operations

7.2B
Global Market Size
Growing at 5.2% annually
40%
Post-Harvest Loss
Due to improper sorting
70%
Efficiency Gain
With automated sorting

Current Sorting Challenges

Manual Inconsistency

Human sorting varies by fatigue, experience, and subjective judgment

Labor Dependency

Workers must focus solely on sorting, limiting multitasking opportunities

Quality Control Issues

Difficult to maintain consistent grading standards across batches

Market Value Loss

Misgraded mangoes reduce profit margins by up to 30%

Our Amazing

Meet The Team

Darius Abog

Darius Abog

Project Adviser

Providing expert IoT guidance, valuable advice, and strategic direction for our project's success.

Mark Dave Alquiza

Mark Dave Alquiza

Member

Leading the team with innovation, dedication, and strategic decision-making for project success.

Ruby Ann Maramot

Ruby Ann Maramot

Member

Contributing skills and ideas to enhance the project's development and success.

Jerico Raquedan

Jerico Raquedan

Member

Supporting the team with dedication and collaboration.