Computer Simulation Analysis Of Biological And Agricultural Systems
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Computer Simulation Analysis of Biological and Agricultural Systems
Computer Simulation Analysis of Biological and Agricultural Systems focuses on the integration of mathematical models and the dynamic simulation essential to system analysis, design, and synthesis. The book emphasizes the quantitative dynamic relationships between elements and system responses. Problems of various degrees of difficulty and complexity are discussed to illustrate methods of computer-aided design and analysis that can bridge the gap between theories and applications. These problems cover a wide variety of subjects in the biological and agricultural fields. Specific guidelines and practical methods for defining requirements, developing specifications, and integrating system modeling early in simulation development are included as well. Computer Simulation Analysis of Biological and Agricultural Systems is an excellent text and self-guide for agricultural engineers, agronomists, foresters, horticulturists, soil scientists, mechanical engineers, and computer simulators.
Global Development of Organic Agriculture
Modern agriculture and food systems, including organic agriculture, are undergoing a technological and structural modernisation and are faced with a growing globalisation. Organic agriculture (OA) can be seen as pioneering efforts to create sustainable development based on other principles than mainstream agriculture. There are however large differences between the challenges connected to, on one hand, modern farming and consumption in high-income countries and, on the other, smallholder farmers and resource poor consumers in low-income countries. The point of departure is the increasing globalisation and the production and trade of food and fodder and how this influences the role of OA. This book provides an overview of the potential role and challenges of organic agriculture in this global perspective, as seen from different perspectives such as sustainability, food security and fair trade.
Agricultural Cybernetics
Agricultural systems are uniquely complex systems, given that agricultural systems are parts of natural and ecological systems. Those aspects bring in a substantial degree of uncertainty in system operation. Also, impact factors, such as weather factors, are critical in agricultural systems but these factors are uncontrollable in system management. Modern agriculture has been evolving through precision agriculture beginning in the late 1980s and biotechnological innovations in the early 2000s. Precision agriculture implements site-specific crop production management by integrating agricultural mechanization and information technology in geographic information system (GIS), global navigation satellite system (GNSS), and remote sensing. Now, precision agriculture is set to evolve into smart agriculture with advanced systematization, informatization, intelligence and automation. From precision agriculture to smart agriculture, there is a substantial amount of specific control and communication problems that have been investigated and will continue to be studied. In this book, the core ideas and methods from control problems in agricultural production systems are extracted, and a system view of agricultural production is formulated for the analysis and design of management strategies to control and optimize agricultural production systems while exploiting the intrinsic feedback information-exchanging mechanisms. On this basis, the theoretical framework of agricultural cybernetics is established to predict and control the behavior of agricultural production systems through control theory.