Welcome to FruitMeasureApp

AI-powered fruit size measurement for precision agriculture

  • Measure fruit diameter directly from your smartphone using images.
  • Analyze single or multiple fruits in the same image.
  • Replace manual measurements with an automated, AI-based approach.
  • Get instant results to support fruit thinning decisions (Greene method).
  • Use a simple and fast tool designed for real field conditions.

Measure. Decide. Optimize.

Available on Android and iOS

Get Started

Google Play

App Store

FruitMeasureApp

Explore the mobile app and the AI model behind it.

The app uses a convolutional neural network (CNN) for fruit detection and segmentation, combined with geometric calibration using a reference marker.

Pipeline:
Calibrate → Capture → Detect → Measure

Run inference (fruit)

python main.py --mode Fruit --image example_images/IMG_20240828_122454.jpg

Run inference (corimbe)

python main.py --mode Corimbe --image example_images/IMG_20240426_100424.jpg

Optional arguments

  • --dist_fruit2cam
    Distance (mm) from fruit to camera (default: 250 mm)

Output

  • *_results.csv → diameter + confidence
  • *_mask_dets.jpg → segmentation
  • *_bb_dets.jpg → bounding boxes

3D Printed Support

FruitMeasureApp uses a custom 3D-printed attachment to ensure consistent image capture and accurate calibration using a reference marker.

Designed for stable positioning and reliable measurements in real field conditions.

Downloads

Download STL (base)

Download STL (extrem)

What you can do

Measure accurately

Estimate fruit diameter directly from images with high precision.

Work faster

Process multiple fruits in seconds with minimal manual effort.

Use in the field

Designed for real agricultural conditions using a mobile device.

Support decisions

Guide fruit thinning and crop management.

Reduce errors

Replace manual tools with consistent AI-based measurements.

Simple workflow

Capture, analyze, and obtain results in seconds.

Why it matters

  • Reduce manual measurement errors and variability
  • Save time and labor in field workflows
  • Enable data-driven fruit thinning decisions
  • Accelerate adoption of precision agriculture tools

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