Abstract
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.
Highlights
Agriculture plays a key role in providing the population with food and as a result, any country is interested in increasing the level of automation of agricultural processes to improve the efficiency of production
That is why nowadays the departmental project «Digital agriculture» is currently being implemented in Russia
Digital agriculture is agriculture where the modes of production are based on the usage of modern digital technologies to increase productivity and reduce production costs
Summary
Agriculture plays a key role in providing the population with food and as a result, any country is interested in increasing the level of automation of agricultural processes to improve the efficiency of production. That is why nowadays the departmental project «Digital agriculture» is currently being implemented in Russia In this project, digital agriculture is agriculture where the modes of production are based on the usage of modern digital technologies (the Internet of things, robotics, artificial intelligence, and big data analysis) to increase productivity and reduce production costs. Due to the fact that about 70% of Russia’s territory is a zone of risky agriculture[1], animal husbandry, poultry farming and fish farming are actively developing. These branches of agriculture have a high level of the automation process that provides high productivity.
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