AI Tool for Detecting Bee Parasites with Machine Learning
AI-powered bee health monitoring with mite detection and colony assessment
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Detail description
BeeScanning is an AI-powered app that detects varroa mites and monitors honey bee colony health using image analysis and machine learning. Developed by BeeScanning AB, it offers a two-week free trial and won 17 awards. Initial issues with slow processing, upload failures, and poor UX led to low retention. After partnering with Gislen Software, the app improved through upgraded code libraries, optimized AWS infrastructure, refined queuing logic, enhanced media validation, and better UI/UX. Subscription management and Google Analytics integration boosted engagement. The case demonstrates how scalable cloud infrastructure and user feedback drive success in agricultural AI.
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Contribution detail info
- Project
- Location
- Sweden
- Authors
- Björn Lagerman
- Purpose
- Dissemination, Communication
- File type
- document
- Created on
- Dec 31, 2018
- Origin language
- English
- Official project website
- BeeScanning 2.0 - monitoring a biological system
- License
- CC BY
- Keywords
- Themes