The monograph for the first time presents a systematic presentation of
the theory of optimal management of agricultural technologies in precision
farming (PF). According to this theory, the management of agricultural
technologies is carried out at three hierarchical levels, strategic,
programmatic and real-time management. The complexity of the software and
mathematical apparatus for the implementation of controls at all levels is
overcome by moving to expert intelligent control systems (ECS). The novelty of
the proposed approach lies in the fact that the knowledge bases (KB) in the ECS
are formed (designed) through the use of analytical control algorithms at all
levels. To this end, control problems are repeatedly preliminarily solved for a
large number of conditions uniformly covering the entire range of possible
values of conditions for the region served by this system. Such knowledge bases
are formed centrally in data processing centers, and local consumers have the
opportunity to receive ready- made control solutions on request through the
cloud information system, bypassing complex calculations. In terms of their
content, these control decisions are a means of supporting decisions made by
the management of farms, as well as tasks for technological robotic machines of
PF systems.
Sample Chapter(s)
Preface (64 KB)
Components of the Book:
- Preamble
- Introduction
- CHAPTER 1. Intelligent Control Systems
- 1.1 General information about intelligent control systems
- 1.2 General information about expert intelligent systems
- 1.3 Chapter conclusions
- CHAPTER 2. Cloud Information Systems
- CHAPTER 3. Intellectualized Control of Agricultural Technology
- 3.1 Development of the general concept of agrotechnology management
in precision farming
- 3.2 Materials and methods
- 3.3 Findings
- CHAPTER 4. Intelligent Systems of Organizational Management
- 4.1 Relevance of the problem
- 4.2 Intelligent system for optimizing the sowing date of crops
- 4.3 Intelligent system for optimizing feed harvesting date
- 4.4 Intelligent system for optimizing the harvesting date of cereals
- 4.5 Conclusion on Chapter 4
- CHAPTER 5. Intelligent Strategic Management Systems
- 5.1 Relevance of the problem
- 5.2 The theoretical basis of strategic management
- 5.3 Expert strategic management system
- 5.4 Intelligent seed rate optimization
- 5.5 Chapter Conclusions
- CHAPTER 6. Intelligent Program Control Systems
- 6.1 Introduction
- 6.2 Program control of the state of spring wheat
- 6.3 Programmed management of the state of perennial grasses
- CHAPTER 7. Intelligent Real Time Control Systems
- 7.1 Introduction
- 7.2 Real-time control algorithm structure
- 7.3 Intelligent real-time control
- 7.4 Conclusions
- CHAPTER 8. Intelligent Control of Agrocenoses
- 8.1 Relevance of the problem
- 8.2 Intelligent management of agrocenoses at the strategic level
- 8.3 Intelligent program management of agrocenoses
- 8.4 Intelligent management of agrocenoses in real time
- 8.5 Chapter conclusions
- CHAPTER 9. Conclusion
Readership:
Students, academics, teachers and other people attending or interested in the field of precision farming.
Mikhailenko I. M.
Agrophysical Research Institute RAAS, Russia, 14, Grazhdansky prospekt, St. Petersburg, 195220, Russian Federation.