AWN CropAI-SWD is an image analysis tool developed by Washington State University to automate the detection of Spotted Wing Drosophila (SWD) larvae in fruit samples. By utilizing AI-powered detection, the app replaces manual classification with a digital workflow that identifies specific larval instar stages. It is notable for its ability to provide visual bounding box feedback and exportable data for research purposes.
Overview · Full Intel report in progress
The App DNA
What makes this app unique?
For Agricultural researchers and fruit growers monitoring for Spotted Wing Drosophila infestations.
Key features
Automatically identifies 2nd and 3rd instar SWD larvae stages within berry and stone fruit images.
Displays color-coded bounding boxes to distinguish between 2nd (green) and 3rd (red) instar larvae.
Allows users to export detection results for external research and data sharing.
Provides a built-in history section to save and review previous sample analysis results.
How much does it cost?
Velocity
Who built it?
Washington State University
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AgWeatherNetUser Sentiment
What do users think recently?
How are ratings & reviews evolving?
Not enough recent reviews to extract reliable themes yet.
Read the full review analysisCompetition
Competitive landscape for AWN CropAI-SWD
How's the Productivity market?
The rivals identified
The Analyst's Read
Key takeaways for AWN CropAI-SWD
Where is it heading?
Bottom line
This app streamlines pest monitoring by replacing manual larvae classification with automated, AI-driven image analysis.
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