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Submitted URL: https://news.google.com/rss/articles/CBMijAFBVV95cUxONGw3ZzVPb01OanY5VzA1Qnd5blVYbFNHd2MxVTFlQjVRX2c0US1aelZoU0s2VkNxVC0...
Effective URL: https://www.pctonline.com/news/revolutionizing-pest-control-with-ai-equipped-drones/
Submission: On December 30 via api from US — Scanned from AU

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RESEARCHERS SHOWING HOW AI-EQUIPPED DRONES CAN HELP AGRICULTURAL PEST CONTROL

International researchers are studying how AI-equipped drones are changing pest
control in agriculture to help reduce food waste.


iStock | Diy13

Posted by Amanda Joerndt, PCT Digital Editor

Published December 30, 2024
Listen to article
0:00 / 2:29

Researchers are now using artificial intelligence (AI) to find better ways to
manage pests. The University of Modena and Reggio Emilia in Italy is showing how
AI can transform farming. Lara Maistrello, an associate professor in the
Department of Life Sciences at the University of Modena, led a team of
researchers to find more time and energy-efficient solutions to pest management.

The researchers devised an automated flight plan for drones to capture
high-resolution images of pear orchards from a height of 26 feet. Drones flying
at this altitude were less disruptive to pest movements than human observers.

Interestingly, adult bugs reacted by freezing when drones approached, aiding in
capturing clear images of the area. These images were then utilized to train AI
models to identify pest infections.

Using this data, the trained models showed higher efficiency in detecting the
stink bug, achieving an accuracy of 97 percent compared to models trained from
the beginning.

The researchers proposed applying this method to integrated pest management
strategies, offering accurate predictions that can adjust to evolving
environmental and weather conditions.

In another research, scientists from the City University of New York (CUNY), the
University of Melbourne, RMIT University, and the ARC Centre of Excellence for
Transformative Meta-Optical Systems (TMOS) tackled the hurdles of curved optical
lenses in environmental sensing.

They devised a flat imaging sensor made of the thin material vanadium dioxide.
In addition to its small size and lightweight, this sensor can switch between
precise infrared imaging and edge detection as needed.

Madhu Bhaskaran, a professor at RMIT University's School of Engineering in
Australia, explained that as the filter's temperature changes, vanadium dioxide
transforms from an insulating state to a metallic one. This shift causes the
processed image to transition from a filtered outline to an unfiltered infrared
image.



Crucially, the sensor system can carry out these tasks at the edge, eliminating
the need for extensive data storage and energy-intensive processors. The
flat-optic lenses produced with this technology are lightweight, small, and
consume less power. They are ideal for replacing conventional lenses in sensing
applications with drones and satellites.

Source: Tech Times







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