The assessment of the world market of intelligent agriculture is provided. The areas of development of digital solutions in animal husbandry, in particular, the industry of beef cattle breeding, the transition to advanced digital, intelligent production technologies, and the creation of systems for processing large amounts of data are discussed.

Департамент научно-технологической политики и образования Федеральное государственное бюджетное научное учреждение «Российский научно-исследовательский институт информации и технико-экономических исследований по инженерно-техническому обеспечению агропромышленного комплекса»

Biosensor technologies is an interdisciplinary science related to the development of biological and information sciences, based on the creation of devices with biocomputing components forming neural network structures, also used for the identification of animals. (Research purpose) The aim of the study is studying and structuring information on the use of biosensor devices and systems in livestock, find the possibilities for subsequent introduction into industry’s practice through effective engineering solutions of pattern recognition, adaptive management of animal behavior, etc. (Materials and methods) We have used methods of collection, study, systematization, analysis of scientific information obtained from livestock practices, expert assessments made in accordance with the technological regulations of the scientific-and- technical funds, patent and license sources, innovative developments of leading manufacturers of machinery and equipment for the beef cattle identification. (Results and discussion) Theory and practice of biosensor science in animal-based biomedical research proved that a balanced, workable system of biosensor control reaches the value of 1,0 e10 - 1,0 e12 of individual cells-sensors. The pulse time of the neuron of 2-5 milliseconds is enough for evaluation of the animal’s habitus, as well as speed of movement, body temperature. It is possible to determine information about the physiological condition of the animal: rut, fatness, location or identity of animal, quality of sperm, embryos, authenticity of origin and other parameters on selected DNA samples by using smart laser and ultrasonic biosensors that transmit these data to smart chips. The article shows that the linear biological parameters of the object obtained with the sensors can be converted by calculation into nonlinear ones, with further telemetry transmission of information to the animal’s biochip and stationary receiving software device. Biocalculation devices are able to calculate and control the change in live weight of animals of different breeds up to 6 months of age, adjusted for the variability of the trait. It was found that the coefficient of variation Cv reaches 1.5-2.5 percent, and as the animal grows, it reaches of 15-18 percent. (Conclusion) The solution of engineering problems in animal husbandry with the help of biosensors and sensors of a new generation depends on the biochemical nature of the recognition element (its action algorithm can be calculated). Biocomputing devices are capable not only to accept, but also to count and to control various parameters of animals. The use of engineering biosensor intelligent systems and neurocybernetic in animal husbandry expands the possibilities of the industry, makes them attractive to the manufacturer and gives a great economic effect.

The beef cattle breeding development is one of the strategic directions for the livestock development in Russia and the CIS countries, including the Republic of Belarus. The livestock fattening most important point is minimizing the costs. Studies have shown that the animals’ greatest body weight 900 kg had had adult culled cattle over a period of 120 days, as well as heifers with calving on pasture during the 30-month fattening. During 28-month fattening of suckling steers at pasture housing, the amount of feed energy unit per day turned out to be the smallest among technologies with the largest number of fattening periods, and amounted to 29.3 at animals fattening during five periods of pasture housing versus 39.7 in two periods of intensive grain fattening: 1 day of pasture housing costs 3.5 versus 12.5 feed energy unit in other periods. In young animals raised on suckling, the best average body weight was equal to 720 kg, but weaning calves showed 710 kg. The feed costs per 1 kg of weight gain were equal to 0.04, 0.10 and 0.09 respectively, i. e. the smallest amount of feed was spent for suckling young animals’ fattening, and the largest – for weaning calves. Efficiency of fattening in rubles made 21.0, 56.4 and 48.0 rubles per 1 kg of weight gain, respectively, or in terms of 1 period of fattening of grown animals – 56.4 rubles, young animals raised at suckling – 6.8, and weaning calves – 19.2. The obtained data allows, through the biological methods and mathematical models individual for each group of cattle at fattening, to obtain optimal weight gain with minimized feed costs.

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