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Mosquito-Tracking AIs

Clean the Sky - Positive Eco Trends & Breakthroughs

Wovenware is Creating and AI to Curb Mosquito Spreading in Puerto Rico

— September 25, 2018 — Tech
In an effort to curb the rise of disease-carrying mosquitos, San-Juan-based Wovenware is introducing a new AI to track the insects in Puerto Rico. Brought on in the wake of Hurrican Maria, the island state has seen a rapid influx of Zika, dengue and chikungunya. This is where the Wovenware AI comes into play. The use of this AI aims to combat the growth and spread of these mosquitos, while also identifying why a number of mosquito species have developed immunities to FDA-approved adulticides and larvicides.

The ultimate goal of Wovenware is to replace human cataloguers of mosquitos. The start-up has already partnered with the Research Trust to further develop this machine learning system. This leveraging of AI is the first of its kind and will provide serious implications for controlling the spread of insect-borne illnesses.


Image Credit: Shutterstock
Trend Themes
1. Mosquito-tracking AI - Opportunity for disruptive innovation in using AI to track and combat the spread of disease-carrying mosquitos.
2. AI in Disease Control - Opportunity for disruptive innovation in leveraging AI to identify the factors contributing to the mosquito's immunity to FDA-approved insecticides and larvicides.
3. Replacing Human Cataloguers - Opportunity for disruptive innovation in using AI to replace human cataloguers of mosquitos, enabling more efficient and accurate tracking of mosquito populations.
Industry Implications
1. Healthcare - Opportunity for disruptive innovation in the healthcare industry to develop AI-based solutions for disease control and prevention.
2. Entomology - Opportunity for disruptive innovation in the field of entomology to leverage AI for studying mosquito populations and their interactions with the environment.
3. Smart Pest Control - Opportunity for disruptive innovation in the pest control industry by integrating AI-powered technologies to track and manage disease-carrying mosquitos more effectively.
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