Uz modeļiem balstīta daudzobjektu biosistēmas precīzā datorvadība = Model based precision computer control of the multiobject biosystem

Doctoral thesis had been developed in the period from September 2009 until September 2012 in Department of Computer Control of Faculty of Information Technologies, Latvia University of Agriculture. The PhD thesis consists of 152 pages, which include 13 tables, 108 figures and 7 annexes. For the development of this paper 150 literature sources were used including 141 in foreign languages. The aim of the thesis is to improve the implementation of Precision Agriculture approach using the integration of various mathematical models in computer control of a multiobject biosystem. In order to achieve the aim of the PhD thesis several tasks were completed 1. Analyze the implementation of sensor networks and computer control in biosystem control and Precision Agriculture. 2. Analyze automatized control system development principles for biosystem control. 3. Develop a model based automatized computer control system architecture for biosystem control. 4. Develop an individual biological object monitoring and control system for Precision Agriculture realization for the honey bee wintering process. 5. Evaluate usability of the developed system for the bee colony state evaluation and control during the wintering process. The content of the PhD thesis: it is structured according to the aim and the tasks of PhD thesis consisting of 4 chapters. First chapter includes analysis of the application of computer control in Precision Agriculture and in biosystem control. The methodology for the application of the sensor network for biological system monitoring is provided. This chapter also provides introduction to practical work problematic. Second chapter includes description of the author developed model based control system architecture for the biological process monitoring and control. It emphasizes the focus on application of various multi-dimensional models for the decision support system realization. Third chapter includes detailed and sequent description of the bee wintering process control and monitoring task completion. In fourth chapter experimental data of the bee colony behaviour during the wintering process is summarized and analyzed. The precision of the bee colony temperature measurement system is evaluated. Calculations for commercial deployment of the system are provided. The main results, conclusions and future development prospects are described in the conclusion of the PhD thesis.