Robotics in Agriculture

This book includes selected papers from the Fifth International Conference on Agriculture Digitalization and Organic Production (ADOP 2025), held in Barnaul, Altai Region, Russia, during June 03-06, 2025. The topics covered in the book are ground robotic systems in crop production, unmanned aerial vehicles in crop production, aerospace monitoring tools in crop production, robotic animal husbandry, digitalization of technological processes of agricultural production, evaluation of the effectiveness of digital technologies for the production of organic products, rational nature management and ecology in agricultural production, technologies for the production of organic agricultural products, market analysis of organic agricultural products, and legal aspects of organic production.

Autorentext

Prof. Andrey Ronzhin is Director of St. Petersburg Federal Research Center of the Russian Academy of Sciences (SP RAS). He is 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. He is Deputy Editor-in-Chief of the journal "Informatics and automation" and Member of the editorial board of the journals "Analysis and data processing systems" and "Computational Technologies". He 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 Member of the Academy of Navigation and Motion Control. He is Co-Chair of International Conference on Interactive Collaborative Robotics (ICR).

Prof. Valentina Kundius Doctor of Economics, Professor, Professor of the Department of Economics, Analysis and Information Technologies of the Altai State Agrarian University, has been working at the Altai State Agrarian University (ASAU) since 1979 as Head of the Department, Dean, Vice-Rector for Economics and Innovative Development, Director of the Research Institute of Economics and Innovative Development of the Agroindustrial Complex of the ASAU and is Expert of the Russian Academy of Sciences. Kundius is Well-Known Scientist in the field of regional agro-industrial economics and the development of organic agriculture; she put forward fundamentally new theoretical positions for science and practice, revealing the effect of objective market laws, justified the directions of regional policy, allowing to find effective mechanisms for the development of the agricultural sector of the country's economy.

Associate Prof. Vladimir Surovtsev is 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 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 Member of the editorial board of the journal Dairy and Beef Cattle Farming.

Inhalt

Autonomous Navigation of Robotic Platforms in Orchards: Semantic Segmentation and Path Planning.- A Method for Task Allocation Among Heterogeneous Group Robots for Automated Operation of a Fruit Orchard.- Agricultural Field Coverage with a Group of Mobile Robots Considering a Soil Compaction Risk and Energy Efficiency.- Justification of the Rational Parameters of the Fruit Flow Divider during Sorting.- Study on Designing of a Multifunctional Agro-Robot Platform for Weed Controlling in Vegetable Fields.- Use of Technical Vision for Automatic Separation of Defective Potato Tubers.- Toward Finding Methods for Identifying Internal and External Defects in Potato Tubers.- Justification of the Parameters of the Robotic Spreader by Studying the Properties of Fertilizers.- Robotic Platform for Autonomous Application of Pesticide.- System Design Methodology and Preliminary Design of a Robotic Service System for Agricultural Drones.- Using UAVs in Potato Growing: Diseases Diagnostics, Liquid Spraying.- Evaluation of the Effectiveness of Quadcopter Operation Parameters and Modes When Spraying Spring Wheat Crops.- A Comparative Study of YOLO Architectures for Poles Detection on Agricultural Land UAVs Images.- Autonomous System for Monitoring and Managing Cattle Behavior.- Holistic Digital Human Models in Gazebo: A Case Study on Agricultural Workflows.- Methods for Detecting of Forested Overgrown Lands of a Region Using NDVI Data.- Digital Transformation in Russian Beekeeping.- Satellite Mapping of Soil Enthalpy for the Introduction of Sorghum Crop in the Non-Chernozem Zone (Using the Novgorod Oblast as a Case Study).- Intraprofile Distribution of Mobile Forms of Some Heavy Metals in Eroded Mountain Chernozems.- The Influence of Roadside Plants on Urban Ecology and the Treatment of Lead Pollution.- Dynamics of Physical Properties of Agricultural Soil Contaminated with Oil.- Organic Waste Assessment for Land Fertility Improvement Using Information Technology.- The Possibility of Early Detection of Dangerous Toxicity of Biologically Treated Wastewater Using a Bioelectronic System for Continuous Analysis of Cardiac Activity of Crayfish.- Aqua-Aero Robotic System AARS for Hyperspectral Monitoring of Pollution of Water Bodies and Their Purification from Cyanobacteria.- The Smart Food Revolution: Industry 4.0 Tools and Their Impact.- A Review on Optimization of Farm Revenue to Mitigate Global Food Insecurity Dynamics.- A Multi-Agent Agricultural Robot System for Precision Crop Monitoring.- Use of Satellite Imagery and UAV to Assess Weed Infestation of Soybean Crops.- Methodology for Assessing the Quality of Multispectral Space Imaging Data in Landscape Element Monitoring.- Research on the Application of Multispectral Remote Sensing Technology Based on NDVI and NDRE with Case Analysis of Precision Nitrogen Management in Drip-Irrigated Winter Wheat.- Feed Wheat Yield Multifactorial Forecasting.- Consideration of NON-factors in Complex Models of Agricultural Production.