The aim of the conference is to consolidate interdisciplinary knowledge in the field of agriculture, biology, robotics, information technology and economics to solve urgent problems of digitalization of organic livestock and crop production based on the achievements of fundamental science and the best practices of agricultural companies.
- Organic farming
- Digital technologies, production and markets for organic products
- Digital technologies and automation in dairy farming
- Digital technologies and automation in aquaculture
- Digital technologies and agricultural development
- Digital technologies in agriculture
- Robotics in agriculture
- Rational nature management and ecology in agricultural production
- Legal aspects of organic production
Olga Abramova, Deputy Prime Minister of the Udmurt Republic, Minister of Agriculture and Food of the Udmurt Republic, Russia
Digital technologies as a factor in the development of the agro-industrial complex and rural areas of the Udmurt Republic
Trends in the development of digital technologies are presented, an analysis of the effectiveness of the system of state support for the development of digital technologies in the agroindustrial complex of the Udmurt Republic is given. The experience of mastering digital technologies in the development of the social and production sphere of rural settlements is generalized. The possibilities of using digital technologies as means of strengthening and developing connections in the production and social sphere of the village are considered. Ways of solving the personnel problem in the agrarian sphere and fixing youth in rural areas based on the development of digital technologies are proposed.
Sebastian Bosse, Group Leader Interactive and Cognitive Systems, Fraunhofer Heinrich Hertz Institute, Berlin, Germany
Accessible injection of domain knowledge into learning systems in agricultural plications
Data driven learning systems such as neural networks are commonly data hungry and rely on large amounts of mostly labelled training data. In practical systems such ground truth labels are very difficult to obtain as the labelling requires a certain degree of expert knowledge in the target domain and is tedious, time consuming and expensive task. At the same time, individual use cases might require specific sets or taxonomies of ground truth information and domain knowledge at use case level that may not be provided by large and potentially general datasets.
In this talk we discuss methods to inject such domain knowledge interactively and application adaptive into the latent space of a neural network. We explain how this approach effectively leverages the knowledge of potentially AI-naïve domain experts to improve systems performance and robustness. We show how this approach opens novel avenues towards efficient human-AI collaboration and examine how agricultural applications can benefit from these accessible injections of domain knowledge into neural networks.
Ksenia Cheban, Head of Planning and Evaluation Procedures Department, Analytical Work and Planning Department, Kaliningrad State Technical University, Kaliningrad, Russia
Evgeny Khrustalev, Professor of the Department of Aquatic Bioresources and Aquaculture, Kaliningrad State Technical University, Kaliningrad, Russia
Fish-breeding technological cadastre as a mechanism for the development of aquaculture in the Kaliningrad region
Periodically changing programs for the development of aquaculture in the Russian Federation reflect the development strategy of the country's fisheries subsector. However, this strategy is built on the "building blocks", which are regional programs. But, when developing regional programs for the development of aquaculture, more often they use an approach focused on setting directive indicators for the quantitative and qualitative parameters of aquaculture products and attracting potential investors to their implementation. Once developed, a fish breeding technological cadastre will determine the prospects for aquaculture in the region for decades and can be considered as a "road map" for its development. When determining the strategy for the development of aquaculture in the region, it is necessary to consider the potential capacity of the regional consumer market in aquaculture products and the real one, assessed for the period of strategy development, corresponding to the level of income of the population, as well as the possibility of selling aquaculture products in external consumer markets.
Johannes Egbert, Chief Consultant on Milk Production Technologies, GEA Farm Tech-nologies RUS, Moscow, Russia
Walter Wakemann, Feeding Expert, Herd Management Specialist in Milk Production, GEA Farm Technologies, Filderstadt, Germany
Optimization of the feed supply for dairy cattle through automated systems
In addition to the automation of milking, the automation of the feed presentation has also found its way into many farms. Feed pusher robots are certainly the simplest form; they push the feed at different programmed intervals. This has positive effects on feed intake through better access to the feed at the trough. Regular journeys of the push robot mean that there is less selection of the presented feed. The farmer's time is relieved by automatic driving of the robot, and it also reduces energy consumption. Another level of automation is the feed presentation. A distinction is made between stationary mixers with mobile application technology and mobile systems that mix and apply. The advantage of automatic feeding is discussed.
Jeroen Keijzer, General director of Lely Rus. Moscow region, Russia
Digital Farming. Lely Horizon farm management platform
An intelligent robotic farm management platform that brings us one step closer to the big future of dairy automation. First reviews of clients in Russia.
Georgy Laptev, CEO of BIOTROF LLC, Professor of the Department of Large-scale Livestock Breeding, St. Petersburg State Agrarian University, Doctor of Biological Sciences, Saint Petersburg, Russia
Bioinformatics and animal feeding
The high yielding dairy cows must be fed a balanced and healthy ration (with a high amount of fiber). But, in intensive farming systems, we must load the rumen with more readily available forms of energy (starch and proteins) in order to derive the high milk yields we need to remain profitable in a low-margin industry. The rumen in cattle is organized to transform roughage (high-fiber) material, of naturally low nutritive value, into high-value products, namely volatile fatty acids (energy). Unbalanced diets cause rumen microbiome dysbiosis, digestive problems, glucose, carbohydrate, energy, protein, lipid and mineral metabolism disorders. It leads to rumen acidosis, ketosis, liver dystrophy, reproductive organ pathologies, decreased immunity, milk yield, fat content of milk, productive longevity decrease. One limitation of rumen microbial community marker-16S gene sequencing is that it does not provide information about the functional composition. Bioinformatics programs such as PICRUSt2 were developed to predict the functional potential of a bacterial community based on marker gene sequencing profiles. We studied the rumen microbiome, its metabolic potential and gene expression affected by various feed factors and in different technological breeding periods.
Kirill Plemyashov, Acting Rector of St. Petersburg State University of Veterinary Medicine, Corresponding Member of the Russian Academy of Sciences, St. Petersburg, Russia
Digital technologies as a basis for collecting and processing information of economically useful traits in the introduction of genomic breeding of dairy cattle
The report is devoted to the current state of livestock breeding in Russia and abroad, achievements in breeding dairy cattle of Holstein and other breeds are noted, and ways to solve challenges in livestock breeding and agriculture of the country are identified. According to Falconer's theory (1960), genetic progress in animal husbandry consists of a number of factors, the key of which are: the accuracy of selection, the intensity of selection, as well as the generation interval between generations. Modern reproductive and genetic technologies both ensure the intensity of breeding and shorten the generation interval, and the accuracy of the lecture should be supported by strict identification of animals, fixation and collection of phenotypic data. Thus, the collection and digital processing of phenotypic traits based on the BLUP method allows us to predict with high accuracy precisely the indicators of the breeding value of animals, which are expressed in the level of genetic potential and its impact on economically useful signs of descendants.
Rifat Sadikov, Head of Consulting Group of Russia, Central Asia, Trans-Caucasus, DeLaval JSC, Ryazan, Russia
Special approaches of robotic milking with different cow movement systems
The livestock sector is the most important and strategic in the food security of our country. In recent years, there have been many changes in technical and technological methods in the production of livestock products. Systems of robotization of the processes of feeding, milking, collection and processing of raw materials are being introduced. Flawless milk is required for high quality products. The robotization of processes and control systems are becoming more sophisticated and more accessible. The dairy industry is changing dramatically. This is an integrated approach to the rational management of the dairy business that allows agricultural enterprises to rise to a more efficient level of production organization.
Elena Semenova, Head of the All-Russian Research Institute for the Organization of Production, Labor and Management in Agriculture – Branch of the Federal State Budgetary Research Center for Agrarian Economics and Social Development of Rural Territories of VNIIESH, Moscow, Russia
Stimulating of the export of organic products
The main trends in the development of the export of organic products, including wild plants, are considered. The prospects of Russia in expanding the export of organic products are assessed. The main barriers hindering export supplies and promotion of organic products to foreign markets have been identified. To stimulate exports, mechanisms are proposed for influencing exporters, infrastructure development, programs for promoting organic forest products to foreign markets are substantiated.
Vasily Sokolov, Deputy Head of the Federal Agency for Fisheries, Moscow, Russia
Dieter Trautz, Professor of the Faculty of Agriculture and Landscape Architecture, Head of the profile direction of resource-saving land use and Organic Crop Production, University of Applied Sciences, Osnabrück, Germany
Application of digital technologies in resource-saving land use and organic crop production in Germany
Thomas Wiemann, Administrator of the Professorship “Autonomous Robotics” University of Osnabrück - Department of Mathematics / Computer Science Berghoffstrasse, Osnabrück, Germany
3D Semantic Environment Models for Agricultural Applications
Autonomous robotic systems for agricultural applications are becoming increasingly important. To achieve autonomy, such systems have to rely on a precise geometric and semantic environment model that supports solving typical problems like localization or path and action planning. Over the last years, several use-case-specific representations have been proposed, but most of them do not scale well to different application scenarios. In this talk, we present recent results towards more general semantically annotated environment representations that allow to fuse data from different modalities, i.g., camera data, LiDAR point clouds and hyperspectral images into a unified environment model that can be re-used in different application domains. The benefits of the proposed semantic environment representation is demonstrated on several real-life applications, namely navigation planning in uneven terrain and process monitoring in a maize harvesting campaign.
- Professor Karsten Berns – TU Kaiserslautern
- Academician Alexander Kostyaev – SPC RAS
Program Committee Chair:
- Andrey Ronzhin, SPC RAS
Program Committee Members:
- Karsten Berns, Germany
- Vlado Delic, Serbia
- Joerg Doerr, Germany
- Ivan Ermolov, Russia
- Mehmet Guzey, Turkey
- Oliver Jokisch, Germany
- Ilshat Mamaev, Germany
- Francisco Mas, Spain
- Roman Meshcheryakov, Russia
- Mirko Rakovic, Serbia
- Noe Velazquez, Mexico
Organizing Committee Co-Chairs:
- Natalia Kashina, SPC RAS
- Anton Saveliev, SPC RAS
- Vladimir Surovtsev, SPC RAS
Organizing Committee Members:
- Marina Astapova, SPC RAS
- Polina Chernousova, SPC RAS
- Natalia Dormidontova, SPC RAS
- Dmitriy Levonevskiy, SPC RAS
- Alyona Lopotova, SPC RAS
- Irina Podnozova, SPC RAS
- Irina Vatamaniuk, SPC RAS
Papers submitted to ADOP-2022 must not be under review by any other conference or publication during the review cycle, and must not be previously published or accepted for publication elsewhere. Authors are invited to submit a full paper with size of 10-12 pages formatted in the Springer style (https://resource-cms.springernature.com/springer-cms/rest/v1/content/3318/data/v5) using the on-line submission system (https://easychair.org/conferences/?conf=adop2022).
Participation in the conference is free. Application for participation must be submitted by May 19, 2022:
The authors of the accepted articles in the conference proceedings will receive information on how to pay the registration fee in the amount 150 USD.
The accepted papers will be published in ADOP-2022 proceedings in the Smart Innovation, Systems and Technologies book series of Springer. The books of this series are submitted to ISI Proceedings, EI-Compendex, SCOPUS and Springerlink.
The conference will be organized at the St. Petersburg Federal Research Center of the Russian Academy of Sciences (St. Petersburg, Russia)
Due to measures for prevention of the spread of coronavirus infection on the territory of the Russian Federation, the conference will be held in a hybrid format: face-to-face participation taking place on the basis of St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS) (14th line VO, 39, St. Petersburg) and an on-line video conference.