# AWN CropAI-SWD

> Productivity

Canonical page: [https://chrome-stats.com/d/id6749020971](https://chrome-stats.com/d/id6749020971)

## Overview

- **ID:** `id6749020971`
- **Platform:** Apple
- **Type:** Apple app
- **Status:** Available
- **Publisher:** Washington State University
- **Category:** Productivity
- **Rating:** 5.00 / 5 (2 ratings)
- **Version:** 1.0
- **Last updated:** 2025-08-11
- **First published:** 2025-08-11
- **Size:** 83 MB
- **Data as of:** 2026-09-25
- **Store listing:** [Apple App Store](https://apps.apple.com/us/app/awn-cropai-swd/id6749020971)
- **Privacy policy:** [https://smartorchard.wsu.edu/privacy-policy-for-awn-cropai-swd/](https://smartorchard.wsu.edu/privacy-policy-for-awn-cropai-swd/)

## Description

AWN CropAI-SWD is a smart image analysis tool designed to assist researchers and growers in detecting Spotted Wing Drosophila (SWD) larvae in berry and stone fruit samples. With AI-powered detection trained on extensive lab and field datasets, the app streamlines the traditionally slow and subjective process of manual larvae classification.

Key Features:

1. Capture or Upload Images of berry samples via your device's camera or gallery.
2. AI Detection of SWD Larvae, currently supporting 2nd (3.5–5 mm) and 3rd (>5 mm) instar stages.
3. Bounding Box Visualization for detected larvae: red for instar 3, green for instar 2.
4. Save and review results in the built-in history section.
5. Export detection data for sharing and research use.

## Rankings

- #623,662 — Overall

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Source: [Chrome-Stats](https://chrome-stats.com/d/id6749020971)
