ETU “LETI”: Students’ Project on Animal Monitoring Wins the University 20.35 Event | India Education,Education News India,Education News

ETU “LETI”: Students’ Project on Animal Monitoring Wins the University 20.35 Event | India Education,Education News India,Education News

The occasion passed off from September to December 2020 and was attended by college students from greater than 35 universities. Their purpose was to create minimal working examples, and the principle subjects for initiatives and courses had been the IT sphere and fashionable applied sciences in agriculture.

A workforce from St. Petersburg Electrotechnical College “LETI” consisting of scholars of the School of Data Measurement and Biotechnical Techniques Daria Valenkova and Tatiana Kuznetsova, in addition to college students of the School of Laptop Science and Expertise Maxim Nigmatulin, Alexander Ershov, Evgeny Shalugin, and Maxim Sobolev offered the Sensible Cow Monitoring challenge. The coordinators are Dmitry Kaplun, Affiliate Professor on the Division of Automation and Management Processes, and Alexander Sinitsa, a graduate scholar on the division. The authors, who attempt to digitalize agriculture, competed within the meals monitor of the College 20.35 occasion.

The challenge makes cattle monitoring much less time-consuming and more cost effective by automating the method and decreasing the price of veterinary companies. The event will probably be helpful for agricultural enterprises, particular person farmers, and analysis institutes that research animal conduct.

To resolve the duty of monitoring animals utilizing video for the FOODNET initiative, the workforce used machine studying and created a biometrics and pc imaginative and prescient system. The system makes use of cameras that report what is going on within the barn or pasture in actual time and transmit the information to a pc recognizing cows’ conduct patterns utilizing synthetic intelligence. Primarily based on the knowledge obtained, the system determines the well being standing of the animal and, if crucial, generates suggestions and experiences adjustments to the operator.

ETU “LETI” workforce members labored on the EkoNivaAgro agricultural holding within the Voronezh Area: they collected information and examined the options. They’ve already developed cow recognition and steady monitoring modules with an accuracy of as much as 98%; a prototype interface is prepared, and its UX-testing takes place. The builders have obtained datasets with details about cows’ ailments and are amassing video information.

“As a part of the occasion, the workforce developed the prototype program on the hackathon, carried out consumer testing, and obtained suggestions from specialists from numerous fields.”

Maxim Nigmatulin, a third-year scholar of the School of Laptop Science and Expertise of ETU “LETI”
The challenge was among the finest on the College 20.35 occasion and took third place within the Agrotechnologies space. On December 23, ETU “LETI” college students obtained diplomas and presents on the on-line awarding ceremony.

“The challenge obtained excessive reward and good suggestions from specialists, together with representatives of the FOODNET initiative, trade, main agricultural analysis organizations, and universities. That’s particularly gratifying in case you think about that we began the challenge from scratch in September. In just a few months, the scholars managed to do a fantastic job, together with making ready the convention paper. We plan to develop the challenge each commercially and scientifically. Particularly, we’re already writing an article along with a analysis group led by Professor Sarma from Gauhati College (India). Moreover, I want to point out the assist the challenge is receiving from the AgTechInventum platform, collectively organized by the Affiliation of Agricultural Gear Sellers and the VDMA Agricultural Equipment Union.”

Dmitry Kaplun, Affiliate Professor on the Division of Automation and Management Processes

The builders plan to coach a mannequin to establish every cow, diagnose illness by recognizing behavioral patterns, and decide important physiological indicators with main scientists in veterinary informatics. Then they are going to combine the answer with present non-contact sensors and scale options to different animals.

Earlier, the challenge developed by college students of St. Petersburg Electrotechnical College “LETI” was the most effective on the worldwide on-line convention and pitch session for agricultural start-ups and obtained a grant of 250 thousand rubles.

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