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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 ,

Students Earn National Science Foundation Graduate Research Fellowships


Students Earn National Science Foundation Graduate Research Fellowships
Fourteen UConn students and alumni have earned National Science Foundation Graduate Research Fellowships
L-R, Brandon D Agostino, Joshua Dupont, Berk Alpay, Caroline Donaghy
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A UConn undergraduate, three graduate students, and 10 alumni have earned National Science Foundation Graduate Research Fellowships (NSF-GRFP).
The oldest graduate fellowship of its kind, the NSF-GRFP recognizes and supports outstanding students in NSF-supported disciplines who are pursuing research-based master’s and doctoral degrees at accredited institutions in the United States. In addition to a three-year annual stipend of $34,000, plus another $12,000 paid to the student’s home institution, fellows have access to a wide range of professional development opportunities over the course of their graduate careers. ....

United States , Mechanical Engineering , San Francisco , Fernanda Sulantay , Derek Aguiar , Alison Salamatian , Emmanouil Anagnostou , Srishti Sadhir , Caroline Donaghy , Nichali Bogues , Renukanandan Tumu , Joshua Dupont , Samuel Sledzieski , Rowena Grainger , Meagan Sundstrom , Brandon Dagostino , Andrea Naranjo Soledad , Samuella Sigmann , Nataliya Nechyporenko , Vin Moscardelli , University Of California , Office Of National Scholarships , Professor Omer Khan Computer Architecture Group , Uconn Eversource Energy Center , Research Fellowships , University Of Rochester ,