Robotics, Machinery and Engineering Technology for Precision Agriculture

Dr. Mark Shamtsyan (1967) is Professor of St. Petersburg State Institute of Technology (Technical University), Russia. His scientific works are focused in the field of food biotechnology, food regulations and safety. He is Global Harmonization Initiative (GHI) Ambassador to Russia and Co-Chair of GHI working group on mycotoxins, Chairman of Russian Regional Section of European Hygienic Engineering and Design Group (EHEDG) and EHEDG Authorized Trainer. He is one of the founders of Black Sea regional association of Food Science and Technology (B-FoST) and its ExCo Member. He is Fellow of International Academy of Food Science and Technology and Member of International Academy of Refrigeration. Dr. Marco Pasetti (1972) is Assistant Professor of Electrical Energy Systems at the Department of Information Engineering of the University of Brescia (Università degli Studi di Brescia), Italy. Main research interests include energy systems, distributed generation, renewable energy sources, solar engineering, photovoltaics, energy storage, energy management systems, supervisory control and data acquisition, electric vehicle charging systems, smart grids and micro-grids. Dr. Alexey Beskopylny (1958) is Doctor of Science, Professor and Vice-Rector for Academic Affairs and Advanced Degrees of the Don State Technical University, Russia. His scientific interests are dynamic of structures, non-destructive methods, impact indentation and reliability of machines and structures.

• Chapter 1. Strengthening of Welded Joints of Load-Bearing Structures of Robotic Systems with Ball-Rod Hardening.- Chapter 2. Quality Control of Frame Structures of Robotic Systems by Express Non-Destructive Methods.- Chapter 3. Strategy of Service and Maintainability of Machines.- Chapter 4. Automatic Monitoring of Smart Greenhouse Parameters and Detection of Plant Diseases by Neural Networks.- Chapter 5. Increasing Biocompatibility of Endoprostheses by Modeling the Impregnation Process.- Chapter 6. Use of Neural Networks and Autopilot for Quick and Accurate Grain Discharge on the Elevator.- Chapter 7. Operation of Membrane Apparatus with Polarization Layer Removal Using Artificial Neural Networks .- Chapter 8. Methodology for Neural Networks Training at Analyzing the Context of Event at Emotions Recognizing.- Chapter 9. Tensomery of Interfaces of the Working Body of Technology Machines for Reclamation Works.- Chapter 10. Model of Sealing Joint with Incising Ring.- Chapter 11. Optimization of Hopper System of ump Unit on Automotive Chassis.- Chapter 12. Optimization of Parameters of Parts of Brake Device of Piston of Circular Rotary Preventer.- Chapter 13. Improving the Processing of Thin Wall Sleeves.-Chapter 14. Study of the Aeration Processes of Filtering Elements for Wastewater Treatment of Industrial Enterprises.- Chapter 15. Layout Features of Drives with Modified Adaptive Friction Clutch.