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Use CaseManufacturing & Industrials / Agriculture

Predict risk of animal health issues through analysing audio patterns

Predicting risk of health issues can be complex - especially when the creatures in question are not mammals. One example solution is using an app to listen out for the health of a colony of bees. The system has been trained to recognise sounds indicating stress or disease that may have afflicted a beehive.

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Risk reduction
Risk reduction - Spot issue (eg copyright infringement)
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Risk reduction
Risk reduction - Predictive diagnosis
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Risk reduction
Risk reduction - Environmental impact
Description

Predict risk of animal health issues through analysing audio patterns

Linked Case Studies
Case Study
University of Washington
University of Washington researchers built the DeepSqueak neural net program to analyse mouse noises
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Case Study
Universidad de la República de Uruguay
Universidad de la Republica de Uruguay researchers successfully identify varying types of bat species using machine learning to evaluate audio signals
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Case Study
University of Montana
University of Montana is testing an app with which beekeepers will be able to try to find out what is troubling a colony by listening to the buzz
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Source: economist.com · Editor: original-sdg
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