Changelog

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Version 1.0.0

Flutter App

Initial public release of FruitMeasureApp

• Mobile application available on Android and iOS
  
• AI-based fruit detection and diameter estimation from images
  
• Support for single and multiple fruit measurements
  
• Integration of reference marker for geometric calibration
  
• Designed for real field conditions

Models

• First version of the inference pipeline implemented
  
• Training pipeline available
  
• Support for:
  • Fruit mode
    
  • Corimbe mode

Notes

• This is the first stable version released to the public
  
• Application is available in mobile app stores
  
• Model inference and training pipelines are included in this release

TODO

App

• Confirm exact release date
  
• Add Google Play link
  
• Add App Store link
  
• Specify supported Android/iOS versions
  
• Add screenshots of the released version

Model

• Specify model architecture.
• Add dataset description (size, type, annotation process)
  
• Provide evaluation metrics (e.g., error in mm, accuracy)
  
• Document training procedure
  
• Add inference performance details (speed, device requirements)

Features

• List supported fruit types
  
• Clarify limitations (lighting, occlusion, distance constraints)
  
• Add calibration details (marker size, assumptions)

Hardware (Support)

• Add STL download links
  
• Add assembly instructions
  
• Document recommended usage setup

Documentation

• Link to full documentation
  
• Add usage tutorial
  
• Add FAQ section