This book features selected papers presented at the Sixth International Conference on Agriculture Digitalization and Organic Production (ADOP 2026), Kaliningrad, Russia, on June 01-05, 2026. The contributions, written by professionals, researchers and graduate students, cover topics in the field of agriculture, microbiology and biotechnology, robotics, information technology and economics for solving urgent problems in digitalization, biologization and development of organic livestock and crop production, improvement of environmental safety and product quality. The conference is organized by the St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS, St. Petersburg, Russia) and Kaliningrad State Technical University (KSTU, Kaliningrad, Russia).
The book will be useful to researchers of interdisciplinary issues of digitalization and biologization, robotization and organization of agricultural production, as well as farmers and commercial companies, which introduce new technologies in crop production and animal husbandry. The book also covers a range of issues related to scientific training of graduate students in the areas of "Mechatronics and robotics", "Management in technical systems", "Technologies, machines and equipment for the agro-industrial complex", "Plant breeding, seed production and biotechnology", "Horticulture, vegetable growing, viticulture and medicinal crops", "Breeding, selection, genetics and biotechnology of animals", "Private animal husbandry, feeding, technologies of feed preparation and production of livestock products", "Fisheries, aquaculture and industrial fisheries", "Regional and sectoral economics".

Discusses results of ADOP 2026 held in Kaliningrad, Russia during June 1-5, 2026 Presents research works in the field of agriculture digitalization and organic production Serves as a reference for researchers and practitioners in academia and industry

Autorentext

Prof. Andrey Ronzhin is Director of St. Petersburg Federal Research Center of the Russian Academy of Sciences (SP RAS). He is a specialist in the field of human-machine interaction research, artificial intelligence and robotics. Under his leadership the technological foundations for the application of artificial intelligence and machine learning methods in the digital means of natural language analysis and control of interoperable socio-cyber-physical and robotic systems were developed. Mathematical and algorithmic models, methods and prototypes of proactive automation tools for information, physical and energy interaction of heterogeneous robotic and cyber-physical complexes have been developed. He is Deputy Editor-in-Chief of the journal "Informatics and automation", member of the editorial board of the journals "Analysis and data processing systems", "Computational Technologies". He is member of the Scientific Boards of Departments of the Russian academy of sciences "Scientific Foundations of Information Technologies and Automation", Robotics and Mechatronics , Theory and control processes , Mechanical engineering . He is a member of the Academy of Navigation and Motion Control. He is Co-Chair of International Conference on Interactive Collaborative Robotics (ICR).

Associate Professor, PhD. Oksana Ogiy is the first Vice-rector of Kaliningrad State Technical University, Head of the Department of Digital Transformation and Business Analytics. She is a specialist in the field of research on the economics of the fisheries sector, the economics of innovation in the agro-industrial complex, including the economics of digital transformation of the agro-industrial complex. The author of the concept of managing the labor potential of the fisheries complex, the developer of the methodology integrated assessment of the digital transformation of the main sectors of the fisheries economy, developed the concept of a new specialty engineering aquaculture. She has more than 60 publications, including 2 monographs, 5 certificates on computer programs and databases, 10 publications in WoS and Scopus.

Ass. Prof. Vladimir Surovtsev is a leading researcher at the Institute of Agrarian Economics and Rural Development of the St. Petersburg Federal Research Center of the Russian Academy of Sciences. He is a specialist in the field of research on the economics of agricultural industries, the economics of innovation in the agro-industrial complex, including the economics of digital transformation of agricultural production. Recommendations and models have been developed to assess the economic efficiency of the development of innovative technologies, automation and robotization of production processes in dairy farming, the use of biological products in feed production and cow feeding. He is a member of the editorial board of the journal Dairy and Beef Cattle Farming. The main publications are presented in Scopus

Inhalt

Hybrid Tractor as an Energy and Digital Accelerator for the Technical Transformation of the Agro-Industrial Complex.- Status and Prospects of Implementing Digital Technologies for Cultivating Agricultural Crops Under the Changing Climate (Using the Altai Krai as an Example).- Route Planning for a Robotic Platform for Applying Mineral Fertilizers.- Experimental Study of the Efficiency of a Robotic System for Precise Fertilizer Application to Increase Resource Efficiency in Crop Production.- Multi-Channel System of Liquid Solution Mixing for Refueling Agricultural UAVs.- Methodology for Operating Agricultural UAVs with Automatic Calibration and Semantic Layout of Flight Missions.- Prospects for the Use of Natural Gas Motor Fuel in Agriculture in the Context of Enhancing Environmental Performance and Sustainable Development.- perator's Server Development for Controlling the Movement of a Robotic Platform.- Development of a Low-Cost Monocular Vision System for Robotic Grasping of Dairy Bottles on Flexible Conveyor Lines.- Model-Based Design of a Control System for a Group of Agricultural Drones and a Robotic Swap Station.- Experimental Evaluation of SLAM Performance Under Computational Constraints for Agricultural Indoor Facilities.- Conceptual Multimodal AI Architecture for the Early Diagnosis of Pig Respiratory Diseases.- Technology of Hybrid Cattle Monitoring Using Local Positioning and Video Surveillance.- An Automated Tool for Generating Monitoring Models for Complex Agrobiotechnical Systems.- Dynamic Configuration in Cognitive Cyber-Agriculture Using Multi-Aspect Ontology.- Etc.