Application of computer vision technology in the development of ultrasonic repeller

• Main Authors: Petrov Alexey, Popov Anton
• Format: Article
• Language: English
• Published: EDP Sciences 2020-01-01
• Series: E3S Web of Conferences
• Online Access: https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/24/e3sconf_tpacee2020_06013.pdf

The issues that are nowadays identified during the implementation of the «Digital agriculture» project are considered. Directions of development of modern agriculture in Russia where digital technologies are being introduced are fixed. It is the Internet of things, robotics, artificial intelligence, and big data analysis. We have analyzed agricultural directions and scientific works where researches are doing and the technologies of computer vision are implementing. Scientific issues that are solved in plant growing by using computer vision are highlighted. Conclusions are made on the implementation of this technology in animal husbandry and fish farming. A device for ultrasonic repelling of synanthropic mammals with the possibility of detecting a synanthropic organism has been developed. The research on the influence of ultrasonic signals on mink behavior is conducted. Further ways of using computer vision in fish farming are defined for working with applied issues that can be solved exclusively with the help of deep learning neural networks.