If the recent surge in artificial intelligence applications left you wondering whether the technology was limited to Silicon Valley’s alleys alone, then researchers at the University of Modena and Reggio Emilia in Italy have a pleasant surprise., known better by its common name the brown marmorated stink bug, is a major cause of headache for orchard owners in North America and southern Europe.
Conventional approaches, such as pheromone traps, visual sampling, and sweep-netting, are the only tools against the pest. These approaches are labor-intensive and difficult to execute when dealing with large orchards. Interestingly, adult bugs also froze in response to a flying drone helping the camera pick high-resolution images of the site. These images were then used to train AI models in identifying a pest infection.
The flat-optics sensor system can rapidly switch between edge detection – imaging the outline of an object, such as a fruit – and extracting detailed infrared information. Credit:The researchers developed a flat imaging sensor using the thin material vanadium dioxide. In addition to being compact and lightweight, the sensor can switch between detailed infrared imaging and edge detection when required.
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