Повышение конкурентоспособностипроизводствамолоканаосновесинергиицифровизацииибиотехнологии

Author(s):  
V.N. SUROVTSEV

Усиление глобальной конкуренции, необходимость одновременного наращивания объемов экспорта аграрной продукции и обеспечения продовольственной безопасности повышают требования к качеству принимаемых решений в отраслях сельскохозяйственного производства на всех уровнях управления. Анализ экономических показателей сельскохозяйственных организаций Ленинградской области показал, что и в регионах Северного Нечерноземья с невысоким агроклиматическим потенциалом комплексное освоение инновационных технологий в производстве и управлении, в том числе на основе цифровизации и биотехнологии, способно обеспечить высокий уровень эффективности производства молока. Развитие технологий приводит к динамичному росту объема создаваемой информации о животных и параметрах производственного процесса. Большие массивы данных формируют специальные приборы и оборудование датчики движения, сканеры упитанности, электронные весы для взвешивания животных в процессе их передвижений, компьютеризированные приборыавтоматы по индивидуальному анализу биохимического состава молока с отбором проб по специальным алгоритмам, что позволяет говорить о начале формирования в отрасли BIG DATE ( Больших Баз Данных ). Системы телекоммуникаций в хозяйствах, специальные алгоритмы сбора и анализа больших массивов данных создают возможность создания и использования цифровых моделейдвойников как отдельных животных и их групп, так и молочного животноводства в хозяйствах в целом, объединяя информацию со всех этапов производственнохозяйственных процессов в автоматическом или полуавтоматическом режиме. Определяющее влияние системы кормления на молочную продуктивность и здоровье животных, их воспроизводительные функции и продуктивное долголетие, на эффективность производства молока повышает актуальность разработки системы управления рубцовым пищеварением высокопродуктивных коров на основе современных исследований в сфере цифровых и биотехнологий, способной обеспечить синергетический эффект внедрения в производство результатов исследований в области генетики как коров, так и микроорганизмов, населяющих их рубец.Increasing global competition, need to simultaneously increase exports volume of agricultural products and ensure food security, increase requirements to quality decisions taken at all levels of management in the sectors of agriculture. Analysis of economic indicators in agricultural organizations in Leningrad Region, which is the leader of dairy cattle in Russia, showed that in the regions of Northern NonBlack Earth Region with a low agroclimatic potential, traditionally attributed to risk farming zone, integrated development of innovative technologies in production and management, including digital and biotechnology, is able to provide a high level of milk production efficiency. Development of technology leads to a dynamic increase in the amount of information created about animals and parameters of the production process. Special devices and equipment (motion sensors, fatness scanners, electronic scales for weighing animals during their movements, computerized automatic devices for individual analysis of milk biochemical composition with sampling using special algorithms, etc.) form large arrays of data, that allows us to say about the beginning of industry BIG DATE formation. Telecommunications systems in farms, special algorithms for collecting and analyzing large data arrays make it possible to create and use digital twin models for both individual animals and their groups, and dairy farming in farms as a whole, combining information from all stages of production and business processes in automatic or semiautomatic mode. The decisive influence of feeding system on milk productivity and animal health, their reproductive functions and productive longevity, on the efficiency of milk production, increases the relevance of developing a system for managing ruminal digestion of highly productive cows based on current research in digital and biotechnologies, able to provide a synergistic effect of introducing into production results of research in the field of genetics, both cows and microorganisms inhabiting their rumen.

2017 ◽  
Vol 1 (1) ◽  
pp. 48-52
Author(s):  
József Horváth ◽  
Zsanett Tóth ◽  
Edit Mikó

Abstract As milk prices move away from production costs, dairy farms are under increased pressure to find ways to protect profitability on the farm. Producers have some problems that they can improve. Improve the milk production, produce more milk to sell focused on quality (reduce the amount of high level of somatic cell count). The deterioration of animal health status (lameness, mastitis and different metabolic disorders) can have a serious impact on cow productivity, causing pain and discomfort, production losses and might result in a decision to cull the animal. Improving herd reproductive performance is an important aspect of profitable farm management. The aim of this work is to analyse milk production, reasons of culling and culling rate in different lactation on a dairy cattle farm.


2007 ◽  
Vol 22 (1) ◽  
pp. 50-60 ◽  
Author(s):  
Marek Wroński ◽  
Marek Cichocki ◽  
Katarzyna Borkowska ◽  
Jan Redmer

2019 ◽  
Vol 1 (1) ◽  
pp. 31-39
Author(s):  
Ilham Safitra Damanik ◽  
Sundari Retno Andani ◽  
Dedi Sehendro

Milk is an important intake to meet nutritional needs. Both consumed by children, and adults. Indonesia has many producers of fresh milk, but it is not sufficient for national milk needs. Data mining is a science in the field of computers that is widely used in research. one of the data mining techniques is Clustering. Clustering is a method by grouping data. The Clustering method will be more optimal if you use a lot of data. Data to be used are provincial data in Indonesia from 2000 to 2017 obtained from the Central Statistics Agency. The results of this study are in Clusters based on 2 milk-producing groups, namely high-dairy producers and low-milk producing regions. From 27 data on fresh milk production in Indonesia, two high-level provinces can be obtained, namely: West Java and East Java. And 25 others were added in 7 provinces which did not follow the calculation of the K-Means Clustering Algorithm, including in the low level cluster.


2021 ◽  
pp. 104063872110030
Author(s):  
Craig N. Carter ◽  
Jacqueline L. Smith

Test data generated by ~60 accredited member laboratories of the American Association of Veterinary Laboratory Diagnosticians (AAVLD) is of exceptional quality. These data are captured by 1 of 13 laboratory information management systems (LIMSs) developed specifically for veterinary diagnostic laboratories (VDLs). Beginning ~2000, the National Animal Health Laboratory Network (NAHLN) developed an electronic messaging system for LIMS to automatically send standardized data streams for 14 select agents to a national repository. This messaging enables the U.S. Department of Agriculture to track and respond to high-consequence animal disease outbreaks such as highly pathogenic avian influenza. Because of the lack of standardized data collection in the LIMSs used at VDLs, there is, to date, no means of summarizing VDL large data streams for multi-state and national animal health studies or for providing near-real-time tracking for hundreds of other important animal diseases in the United States that are detected routinely by VDLs. Further, VDLs are the only state and federal resources that can provide early detection and identification of endemic and emerging zoonotic diseases. Zoonotic diseases are estimated to be responsible for 2.5 billion cases of human illness and 2.7 million deaths worldwide every year. The economic and health impact of the SARS-CoV-2 pandemic is self-evident. We review here the history and progress of data management in VDLs and discuss ways of seizing unexplored opportunities to advance data leveraging to better serve animal health, public health, and One Health.


2021 ◽  
Vol 14 (1) ◽  
pp. 40-47
Author(s):  
Tatуana Ivanovna LOMACHENKO ◽  

Nowadays, there is no consensus that digitalization is a threat to business security or an opportunity to comprehensively manage the entire chain of business processes in real time, taking into account incoming data from all assets. However, political and economic instability, demand volatility, and competition are all a set of global challenges that digital transformation has responded to. In industry, the competitive advantage has become not the ownership of the enterprise, the firm, but access to digital technology, on which the efficiency of work with specific resources depends. The processes of forming individual business segments related to production management based on modern digital technology have already been launched and most companies are focused on this direction. The article reveals the features of the evolutionary stage of digital economy development, presents the relationship of this process with the formation of the conceptual framework from the theoretical foundations, substantiated in the 1990s by foreign and domestic scientists to modern approaches in the interpretation of digital economy definitions. The article proposes the structural dynamics of the digital economy in today's realities, revealing internal problems, opportunities for economic growth, maturity and readiness of the state to new ways of doing business in the digital economy and digital transformation, to form the country's national strategy. In addition, the conditions under which digital transformation opens up new opportunities for the business environment, the public sector and society as a whole are presented. Changes in business strategy, organizational forms, business process capabilities, new approaches in working with clients, competitive advantages, increase in profit sources are analyzed. As a result, the efficiency of the whole system increases, which allows to reach a fundamentally new level of production efficiency in a short time.


2018 ◽  
Vol 78 (7) ◽  
pp. 1499-1508
Author(s):  
Abdelhak Kessili ◽  
Jes Vollertsen ◽  
Asbjørn Haaning Nielsen

Abstract This study is related to distribution temperature sensing (DTS) in sewers for tracing illicit or unintended inflows to foul sewers. A DTS measurement is performed with a fiber optic cable that is installed at the invert of a sewer pipe in combination with a standalone laser/computer instrument. This set-up generates in-sewer temperature measurements with high resolutions in time (every minute) and space (every metre) along the cable over long periods of time (weeks on end). The prolonged monitoring period in combination with the high level of detail in the dataset allows the study of anomalies (i.e., unexpected temperatures and/or temperature variations at certain locations), even if these only occur very infrequently. The objective of this paper is to develop an automated tool to analyze the large data masses and identify anomalies caused by illicit or unintended inflows. In this study, an algorithm for detecting the temperature changes that are caused by both wastewater discharge and inflow of stormwater are developed. A comparison of the results of the automated procedure to the results of a manual assessment of the datasets (Elmehaven, Denmark) shows that the automated procedure performs very well.


2017 ◽  
Vol 37 (2) ◽  
pp. 111-119
Author(s):  
VICTOR EDWIN COLLAZOS ◽  
HELGA DUARTE AMAYA

Enterprise Architecture (EA) has gained importance in recent years, mainly for its concept of “alignment” between the strategic and operational levels of organizations. Such alignment occurs when Information Technology (IT) is applied correctly and timely, working in synergy and harmony with strategy and the operation to achieve mutually their own goals and satisfy the organizational needs.Both the strategic and operational levels have standards that help model elements necessary to obtain desired results. In this sense, BMM and BPMN were selected because both have the support of OMG and they are fairly well known for modelling the strategic level and operational level, respectively. In addition, i* modeling goal can be used for reducing the gap between these two standards. This proposal may help both the high-level design of the information system and to the appropriate identification of the business processes that will support it.This paper presents a methodology for aligning strategy and the operation based on standards and heuristics. We have made a classification for elements of the models and, for some specific cases, an extension of the heuristics associated between them. This allows us to propose methodology, which uses above-mentioned standards and combines mappings, transformations and actions to be considered in the alignment process.


Author(s):  
Ewa Bonusiak ◽  

Legal sciences, raising food safety as the subject of research, focus mainly on striving to ensure sufficiently effective legal regulations and the system of bodies controlling and supervising the food market that determine the correct health quality of food. One such body is the Veterinary Inspection. And while it focuses in its tasks mainly on the protection of animal health, it directly and indirectly affects the maintenance of food health requirements. Supervision exercised by the said Inspection plays an important role in ensuring a high level of protection of human life and health, and also protects the economic interests of the consumer. These two goals are basic. Additional objectives are protection of the reliability of commercial transactions, ensuring the free movement of food in the European Union, protection of animal health and living conditions and protection of the environment. They are of particular importance for determining acceptable limits of competences that can be entrusted to public administration bodies, including the said Inspection. The article presents the activities of the Veterinary Inspection to protect food safety and selected executive forms that it uses for this purpose. These types of entities are equipped with such forms of activity because they fulfill a protective function in the public administration system. However, this function implies the obligation to protect many different values desired individually, as well as maintain (ensure) objectively desired states of affairs, phenomena and processes.


2021 ◽  
Vol 42 (4) ◽  
pp. 2471-2488
Author(s):  
Giovanna Bobato Pontarolo ◽  
◽  
Mikael Neumann ◽  
Fernando Braga Cristo ◽  
Edelmir Silvio Stadler Júnior ◽  
...  

Functional additives, such as autolyzed yeasts, have been used to achieve greater production efficiency and animal health. These compounds are also alternatives to the use of performance-enhancing antimicrobials. The objective was to evaluate the productive performance, ingestive behavior, apparent digestibility of feed DM and the carcass characteristics of beef steers finished in feedlot receiving autolyzed yeasts in the diet. The experimental design was randomized blocks, consisting of three treatments and six repetitions, where each repetition was represented by a stall with two animals. 36 bulls, ½ Angus × ½ Nelore blood, from the same herd, with an average age of 11 months and an average body weight of ± 330 kg were used.The treatments were as follows: CON - yeast-free diet; Y4 - yeast diet (4 g animal day-1) and Y7 - yeast diet (7 g animal day-1). The product used is a functional ingredient containing the yeast Saccharomyces cerevisiae. The inclusion of autolyzed yeasts resulted in greater daily body weight gain and better feed conversion in the initial feedlot phase. The apparent digestibility of DM of diets containing autolyzed yeast was superior to the control diet, and its use did not interfere with the animal ingestive behavior. Supplementation with autolyzed yeasts at the inclusion level of 4 g day-1 promoted better results in the finishing of feedlot steers, and that the supplemented groups (4 g animal day-1 and 7 g animal day-1) achieved the same degree of carcass finishing, higher than the control group.


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