DOMESTIC SCIENCE DEVELOPMENT AND DAIRY FARMING INDUSTRY PRODUCTION CAPACITY FORMATION BASED ON DIGITAL TECHNOLOGIES

Author(s):  
Marina A. Fedorova
2021 ◽  
pp. 100197
Author(s):  
Adrian Fernandez-Perez ◽  
Bart Frijns ◽  
Ilnara Gafiatullina ◽  
Alireza Tourani-Rad

Sinappsi ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 14-35
Author(s):  
Valeria Cirillo ◽  
Lucrezia Fanti ◽  
Andrea Mina ◽  
Andrea Ricci

How are Industry 4.0 investments distributed across Italian regions and sectors? Which are the main drivers of diffusion? To address these questions, in this study we exploit rich firm survey data on the adoption of the new digital technologies and examine their adoption patterns. On the one hand, we produce novel insights into the drivers of structural change in the Italian economy, and on the other, we provide evidence on the technological upgrading of Italy's production capacity that is relevant for policy. The results of econometric tests on region-sector pairs indicate that corporate governance characteristics, innovation patterns and type of industrial relations are significant predictors of the uneven regional and sectoral distribution of Industry 4.0 investments.


Author(s):  
В.Н. Суровцев ◽  
Е.Н. Паюрова ◽  
Ю.Н. Никулина ◽  
И.К. Шульгин ◽  
В.Д. Лужняк ◽  
...  

Рассмотрены перспективы развития органического молочного скотоводства в Российской Федерации, обусловленные вступлением в действие закона «Об органической продукции». Проанализированы факторы, способствующие развитию производства органического молока: возможность реализации эффекта масштаба, организация производства на необрабатываемых в течение ряда лет землях, свободных от остаточных проявлений интенсивной обработки, благоприятная конъюнктура внутреннего рынка, государственная поддержка экспорта. Определены основные сдерживающие факторы: отсутствие апробированных и адаптированных к региональным условиям технологий; усиление требований к качеству планирования и контроля; дефицит квалифицированных специалистов, имеющих опыт производства органической продукции; отсутствие узнаваемости бренда, негарантированность получения высокой ценовой премии. Исследованы возможности инновационных цифровых технологий в повышении производительности и результативности труда специалистов в кормопроизводстве и молочном скотоводстве, в обеспечении прослеживаемости и управляемости производственно-хозяйственного процесса в отрасли, контроля соответствия сырья и продукции требованиям к органическому производству. The article considers the prospects for the development of organic dairy farming in the Russian Federation, due to the entry into force of the law «On Organic Products». Factors contributing to the development of organic milk production were analyzed: the possibility of realizing economies of scale, the organization of production on uncultivated lands for several years, free from residual effects of intensive processing, favorable situation on the domestic market, government support for exports. Identified the main constraints: the lack of tested and adapted to regional conditions technologies; increased requirements for quality planning and monitoring; the shortage of qualified specialists with experience in organic production; lack of brand recognition, non-guaranteed high price premium. The article explores the possibilities of innovative digital technologies to improve the productivity of specialists in fodder production and dairy farming, provide traceability and manageability of production and economic process in the industry, control of compliance of raw materials and products with the requirements for organic production.


2020 ◽  
Vol 175 ◽  
pp. 02015 ◽  
Author(s):  
Alexey Petrov ◽  
Anton Popov

The issues that are currently identified in Russia during the implementation of Digital Agriculture project are considered. The main issues that need to be addressed in development of modern digital technologies in the fish farming industry using natural and artificial reservoirs are highlighted. Aqua engineering trends and scientific works of a number of teams that conduct research and use the capabilities of deep machine learning, are analyzed. Particular attention was paid to specific tasks and research results that solve applied problems in the field of aquaculture and fish farming. Conclusions are made about the prospects for implementing these objectives in Russia. The conclusions of scientific teams and new tasks set as a result of scientific experiments are considered. The main directions in the area of commercial fish farming that need active adaptation of computer vision to deal with applied problems, are identified. Questions of efficiency in introduction of neural networks of deep learning are raised, and also conclusions are drawn on introduction of the term “selectivity” to determine the relation of a data set received by a digital method, referred to quantity of the same data which would be received at their collection by means of non-digital technologies.


BioTechniques ◽  
2021 ◽  
Vol 70 (5) ◽  
pp. 239-242
Author(s):  
Lucy Chard

Revolutionary techniques to improve dairy herd health and making them globally accessible could improve the sustainability of food production in the dairy farming industry.


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