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Researchers Turn to a Drone Equipped with Edge AI Smarts to Spot Invasive Hogweed From the Skies

Researchers Turn to a Drone Equipped with Edge AI Smarts to Spot Invasive Hogweed From the Skies
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Samarskaya Oblast , Jetson Nano , Transactions On Computers , Skolkovo Institute Of Science , Convolutional Neural Networks , Skolkovo Institute , Unmanned Aerial Vehicle , Fully Convolutional Neural Networks , ஜெட்சன் நானோ , பரிவர்த்தனைகள் ஆன் கணினிகள் , ஆளில்லா வான்கம்பி வாகனம் ,

Artificial Intelligence and drones will help pin down Sosnovsky's hogweed

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IMAGE: The input image (left) and the output image (right), processed by the fully convolutional neural network
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Credit: Skoltech
Skoltech scientists have created a new monitoring system for agricultural applications that performs real-time image segmentation on board the drone to identify hogweed. The research was published in a high-profile journal,
IEEE Transactions on Computers.
Sosnovsky s hogweed is equally hazardous for farming, local ecosystems, and human health. Direct contact with human skin, especially if aggravated by exposure to the Sun, causes severe burns that require continuous medical care and take weeks to heal. The rampant spread of Sosnovsky s hogweed has become a real environmental disaster that extends across the whole of Russia, from its central part to Siberia and from Karelia to the Caucasus. Every year, the government allocates huge budgets (last year, 350 million rubles for Moscow alone) for hogweed elim ....

Viktor Prutyanov , Dmitry Shadrin , Evgeny Tsykunov , Andrey Somov , Alexander Menshchikov , Daniil Lopatkin , Sergey Sosnin , Yevgeny Yakovlev , Transactions On Computers , Massachusetts Institute Of Technology , Skoltech Center , Skoltech Space Center , Convolutional Neural Networks , Data Intensive Science , Skoltech Phd , Fully Convolutional Neural Networks , Massachusetts Institute , பரிவர்த்தனைகள் ஆன் கணினிகள் , மாசசூசெட்ஸ் நிறுவனம் ஆஃப் தொழில்நுட்பம் , தகவல்கள் தீவிர அறிவியல் , மாசசூசெட்ஸ் நிறுவனம் ,