AWN CropAI-SWD

AWN CropAI-SWD
Developer: Washington State University
Category: Productivity
~100 - 200
2 ratings
~100 (installs week)

AWN CropAI-SWD Summary

AWN CropAI-SWD is a iOS app in the Productivity category, developed by Washington State University. First released 4 months ago(Aug 2025), the app has 2 ratings with a 5.00★ (excellent) average rating.

Recent activity: 2 new ratings this week with slowing momentum. View trends →

Store info: Last updated on App Store on Aug 11, 2025 .

SDKs, Trackers & Permissions

App not yet scanned for SDKs.

App Details
Store ID: 6749020971
First Released: 2025-08-11
Store Last Updated: 2025-08-11
In-App Purchases: No
Ads: No
Website: wsu.edu
App Store
Crawl Status: Success
Store First Crawled: 2025-08-29
Store Last Crawled: 2025-12-03
Ads & App-Ads.txt
App does not have ads.
SDK Tracking Status
App not yet analyzed for SDKs.

The download and scan process is automated but can require manual troubleshooting. Feel free to reach out if your request does not complete in 24hrs or if you have any questions.


5★

Ratings: 2

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Screenshots

App 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.