Food Systems Modelling Books

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Food Systems Modelling


Food Systems Modelling
  • Author : Christian J. Peters
  • Publisher : Academic Press
  • Release : 2021-11-15
  • ISBN : 0128221127
  • Language : En, Es, Fr & De
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Food Systems Modelling presents the use of models, both conceptual and computational, to understand the human, commercial, social, political and natural systems that provide our food. The book emphasizes sustainability, including the impact of agriculture and food production on profits, people and environment, with a particular focus on the ability of humanity to continue producing food in the midst of global environmental change. Food Systems Modelling deciphers what models can teach us about food system sustainability. No one can master all the fields currently contributing to the science of food system sustainability, and yet we need multiple approaches to get a picture of the entire system. This book's coverage explores how each branch of modelling views the world and synthesizes what the pieces might mean when considered together. Organized in three parts, the first part introduces three fundamental concepts: the purpose of models, the definition of a food system, and the importance of disciplinary, interdisciplinary, and transdisciplinary inquiry. The second part delves into specific branches of modelling that have been used to study the sustainability of food systems. The third, and final, part wrestles with the challenge of communicating modelling research and appropriately integrating multiple dimensions of sustainability simultaneously. Food Systems Modelling will be a welcomed reference for food scientists, agricultural scientists, nutritionists, environmental scientists, ecologists, economists, those working in agribusiness and food supply chain management, community and public health, and urban and regional planning, as well as academicians and graduate students interested in sustainability of food systems. Emphasizes sustainability, including the impact of agriculture and food production on profits Focuses on the ability of humanity to continue producing food in the midst of global environmental change Deciphers what models can teach us about food system sustainability

Systems Analysis and Modeling in Food and Agriculture


Systems Analysis and Modeling in Food and Agriculture
  • Author : K.C.Ting
  • Publisher : EOLSS Publications
  • Release : 2009-02-12
  • ISBN : 9781848261334
  • Language : En, Es, Fr & De
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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.

Modelling Microorganisms in Food


Modelling Microorganisms in Food
  • Author : Stanley Brul
  • Publisher : Elsevier
  • Release : 2007-03-12
  • ISBN : 9781845692940
  • Language : En, Es, Fr & De
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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

Practical Applications of Agricultural System Models to Optimize the Use of Limited Water


Practical Applications of Agricultural System Models to Optimize the Use of Limited Water
  • Author : Lajpat R. Ahuja
  • Publisher : John Wiley & Sons
  • Release : 2020-01-22
  • ISBN : 9780891183433
  • Language : En, Es, Fr & De
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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.

Mathematics of Planet Earth


Mathematics of Planet Earth
  • Author : Hans G. Kaper
  • Publisher : Springer Nature
  • Release : 2019-12-21
  • ISBN : 9783030220440
  • Language : En, Es, Fr & De
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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.