|Author||: K.C.Ting,David H. Fleisher,Luis F. Rodriguez|
|Publisher||: EOLSS Publications|
|Release Date||: 2009-02-12|
|ISBN 10||: 1848261330|
|Pages||: 488 pages|
Systems Analysis and Modeling in Food and Agriculture is a component of Encyclopedia of Food and Agricultural Sciences, Engineering and Technology Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. Systems analysis and modeling is being used increasingly in understanding and solving problems in food and agriculture. The purpose of systems analysis is to support decisions by emphasizing the interactions of processes and components within a system. Frequently investigated systems level questions in agriculture and food are relevant to the 6 E's: Environment, Energy, Ecology, Economics, Education, and Efficiency. The theme on Systems Analysis and Modeling in Food and Agriculture with contributions from distinguished experts in the field provides information on key topics related to food and agricultural system. The coverage include an overview of food system; system level aspects related to energy, environment, and social/policy issues; knowledge bases and decision support; computer models for crops, food processing, water resources, and agricultural meteorology; collection and analysis methods for data from field experiments; use of models and information systems. This volume is aimed at the following a wide spectrum of audiences from the merely curious to those seeking in-depth knowledge: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.
|Author||: Lajpat R. Ahuja,Liwang Ma,Robert J. Lascano|
|Publisher||: John Wiley & Sons|
|Release Date||: 2020-01-22|
|ISBN 10||: 0891183434|
|Pages||: 464 pages|
Completely devoted to applicati on of models to opti mize the use of limited water and nutrients in various climates, this collecti on will inspire confi dence in the capacity of modeling to tackle the biggest threats to secure agriculture. To obtain the most producti on from available water while maintaining natural resources, we need whole system–based quanti tati ve knowledge and tools to help select appropriate crops and manage water and associated inputs on a site-specifi c basis under changing climate. Site-specifi c experimental results are available for limited locati ons, limited periods of ti me, and limited management opti ons. Well-tested process models of cropping systems can extend fi eld research results to long-term weather conditi ons, as well as other climates and soils, allowing us to explore new management opti ons. The case studies in this volume are promising examples of these kinds of soluti ons.
Predicting the growth and behaviour of microorganisms in food has long been an aim in food microbiology research. In recent years, microbial models have evolved to become more exact and the discipline of quantitative microbial ecology has gained increasing importance for food safety management, particularly as minimal processing techniques have become more widely used. These processing methods operate closer to microbial death, survival and growth boundaries and therefore require even more precise models. Written by a team of leading experts in the field, Modelling microorganims in food assesses the latest developments and provides an outlook for the future of microbial modelling. Part one discusses general issues involved in building models of microbial growth and inactivation in foods, with chapters on the historical background of the field, experimental design, data processing and model fitting, the problem of uncertainty and variability in models and modelling lag-time. Further chapters review the use of quantitative microbiology tools in predictive microbiology and the use of predictive microbiology in risk assessment. The second part of the book focuses on new approaches in specific areas of microbial modelling, with chapters discussing the implications of microbial variability in predictive modelling and the importance of taking into account microbial interactions in foods. Predicting microbial inactivation under high pressure and the use of mechanistic models are also covered. The final chapters outline the possibility of incorporating systems biology approaches into food microbiology. Modelling microorganisms in food is a standard reference for all those in the field of food microbiology. Assesses the latest developments in microbial modelling Discusses the issues involved in building models of microbial growth Chapters review the use of quantitative microbiology tools in predictive microbiology
This text provides a comprehensive and thorough overview of kinetic modelling in food systems, which will allow researchers to further their knowledge on the chemistry and practical use of modelling techniques. The main emphasis is on performing kinetic analyses and creating models, employing a hands-on approach focused on putting the content discussed to direct use. The book lays out the requisite basic information and data surrounding kinetic modelling, presents examples of applications to different problems and provides exercises that can be solved utilizing the data provided. Kinetic Analysis of Food Systems pursues a practical approach to kinetic analysis, providing helpful exercises involving chlorophyll degradation in processed vegetables, metabolic oscillations and sugar accumulation in cold-stored potatoes, transesterification of oils to manufacture biodiesel, aggregation of whey proteins to make protein gels and crystallization of fat stabilizers used in nut butters, among others. The book lays out the basics of kinetic modelling and develops several new models for the study of these complex systems. Taken together with the accompanying exercises, they offer a full portrait of kinetic analysis, from its basic scientific groundwork to its application.
Since its inception in 2013, Mathematics of Planet Earth (MPE) focuses on mathematical issues arising in the study of our planet. Interested in the impact of human activities on the Earth’s system, this multidisciplinary field considers the planet not only as a physical system, but also as a system supporting life, a system organized by humans, and a system at risk. The articles collected in this volume demonstrate the breadth of techniques and tools from mathematics, statistics, and operations research used in MPE. Topics include climate modeling, the spread of infectious diseases, stability of ecosystems, ecosystem services, biodiversity, infrastructure restoration after an extreme event, urban environments, food security, and food safety. Demonstrating the mathematical sciences in action, this book presents real-world challenges for the mathematical sciences, highlighting applications to issues of current concern to society. Arranged into three topical sections (Geo- and Physical Sciences; Life Sciences, Ecology and Evolution; Socio-economics and Infrastructure), thirteen chapters address questions such as how to measure biodiversity, what mathematics can say about the sixth mass extinction, how to optimize the long-term human use of natural capital, and the impact of data on infrastructure management. The book also treats the subject of infectious diseases with new examples and presents an introduction to the mathematics of food systems and food security. Each chapter functions as an introduction that can be studied independently, offering source material for graduate student seminars and self-study. The range of featured research topics provides mathematical scientists with starting points for the study of our planet and the impact of human activities. At the same time, it offers application scientists a plethora of modern mathematical tools and techniques to address the various topics in practice. Including hundreds of references to the vast literature associated with each topic, this book serves as an inspiration for further research.
A comprehensive survey of thermal processing and modelling techniques in food process engineering. It combines theory and practice to solve actual problems in the food processing industry - emphasizing heat and mass transfer, fluid flow, electromagnetics, stochastic processes, and neural network analysis in food systems. There are specific case stu
In recent years there has been an explosion of interest in local food systems-among policy makers, planners, and public health professionals, as well as environmentalists, community developers, academics, farmers, and ordinary citizens. While most local food systems share common characteristics, the chapters in this book explore the unique challenges and opportunities of local food systems located within mature and/or declining industrial regions. Local food systems have the potential to provide residents with a supply of safe and nutritious food; such systems also have the potential to create much-needed employment opportunities. However, challenges are numerous and include developing local markets of a sufficient scale, adequately matching supply and demand, and meeting the environmental challenges of finding safe growing locations. Interrogating the scale, scope, and economic context of local food systems in aging industrialized cities, this book provides a foundation for the development of new sub-fields in economic, urban, and agricultural geographies that focus on local food systems. The book represents a first attempt to provide a systematic picture of the opportunities and challenges facing the development of local food systems in old industrial regions.
|Author||: National Research Council,Institute of Medicine,Board on Agriculture and Natural Resources,Food and Nutrition Board,Committee on a Framework for Assessing the Health, Environmental, and Social Effects of the Food System|
|Publisher||: National Academies Press|
|Release Date||: 2015-06-17|
|ISBN 10||: 030930783X|
|Pages||: 444 pages|
How we produce and consume food has a bigger impact on Americans' well-being than any other human activity. The food industry is the largest sector of our economy; food touches everything from our health to the environment, climate change, economic inequality, and the federal budget. From the earliest developments of agriculture, a major goal has been to attain sufficient foods that provide the energy and the nutrients needed for a healthy, active life. Over time, food production, processing, marketing, and consumption have evolved and become highly complex. The challenges of improving the food system in the 21st century will require systemic approaches that take full account of social, economic, ecological, and evolutionary factors. Policy or business interventions involving a segment of the food system often have consequences beyond the original issue the intervention was meant to address. A Framework for Assessing Effects of the Food System develops an analytical framework for assessing effects associated with the ways in which food is grown, processed, distributed, marketed, retailed, and consumed in the United States. The framework will allow users to recognize effects across the full food system, consider all domains and dimensions of effects, account for systems dynamics and complexities, and choose appropriate methods for analysis. This report provides example applications of the framework based on complex questions that are currently under debate: consumption of a healthy and safe diet, food security, animal welfare, and preserving the environment and its resources. A Framework for Assessing Effects of the Food System describes the U.S. food system and provides a brief history of its evolution into the current system. This report identifies some of the real and potential implications of the current system in terms of its health, environmental, and socioeconomic effects along with a sense for the complexities of the system, potential metrics, and some of the data needs that are required to assess the effects. The overview of the food system and the framework described in this report will be an essential resource for decision makers, researchers, and others to examine the possible impacts of alternative policies or agricultural or food processing practices.
The measurement, prediction, and control of food processes in the quest for greater consistency, quality, and safety in the final product has been a major trend in the food industry over the past decade. The shift to modelling food processes as a way of identifying and understanding the key variables at work is a major outgrowth of this trend.The editors and contributors explore the current trends in modelling, their strengths, and weaknesses, and their applications across the supply chain in this book.
|Author||: Ranjith Premalal De Silva|
|Publisher||: Springer Nature|
|ISBN 10||: 9811536732|
|Pages||: 329 pages|
Global environmental change (GEC) represents an immediate and unprecedented threat to the food security of hundreds of millions of people, especially those who depend on small-scale agriculture for their livelihoods. As this book shows, at the same time, agriculture and related activities also contribute to GEC by, for example, intensifying greenhouse gas emissions and altering the land surface. Responses aimed at adapting to GEC may have negative consequences for food security, just as measures taken to increase food security may exacerbate GEC. The authors show that this complex and dynamic relationship between GEC and food security is also influenced by additional factors; food systems are heavily influenced by socioeconomic conditions, which in turn are affected by multiple processes such as macro-level economic policies, political conflicts and other important drivers. The book provides a major, accessible synthesis of the current state of knowledge and thinking on the relationships between GEC and food security. Most other books addressing the subject concentrate on the links between climate change and agricultural production, and do not extend to an analysis of the wider food system which underpins food security; this book addresses the broader issues, based on a novel food system concept and stressing the need for actions at a regional, rather than just an international or local, level. It reviews new thinking which has emerged over the last decade, analyses research methods for stakeholder engagement and for undertaking studies at the regional level, and looks forward by reviewing a number of emerging 'hot topics' in the food security-GEC debate which help set new agendas for the research community at large. Published with Earth System Science Partnership, GECAFS and SCOPE
|Author||: Shyam S. Sablani,Ashim K. Datta,M. Shafiur Rahman,Arun S. Mujumdar|
|Publisher||: CRC Press|
|Release Date||: 2006-12-19|
|ISBN 10||: 1420015079|
|Pages||: 624 pages|
With the advancement of computers, the use of modeling to reduce time and expense, and improve process optimization, predictive capability, process automation, and control possibilities, is now an integral part of food science and engineering. New technology and ease of use expands the range of techniques that scientists and researchers have at the