[PDF] Environmental And Agricultural Modelling eBook

Author : Floor M. Brouwer
Publisher : Springer
Page : 0 pages
File Size : 46,62 MB
Release : 2014-10-29
Category : Technology & Engineering
ISBN : 9789400790513

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Agriculture increasingly faces the challenge of balancing its multiple functions in a sustainable way. Integrated assessment and modelling (IAM) can provide insight into the potential impacts of policy changes. However, concepts to address the wide range of issues and functions typical for agriculture are still scarce. Environmental and Agricultural Modelling reviews and presents our current understanding of integrated and working tools to assess and compute, ex-ante, alternative agricultural and environmental policy options, allowing: 1. Analysis at the full range of scales (farm to European Union and global) whilst focusing on the most important issues emerging at each scale; 2. Analysis of the environmental, economic and social contributions of agricultural systems towards sustainable rural development and rural viability; 3. Analysis of a broad range of issues and agents of change, such as climate change, environmental policies, rural development options, effects of an enlarging EU, international competition, and effects on developing countries.

Author : Floor M. Brouwer
Publisher : Springer Science & Business Media
Page : 334 pages
File Size : 24,15 MB
Release : 2010-04-05
Category : Technology & Engineering
ISBN : 9048136199

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Agriculture increasingly faces the challenge of balancing its multiple functions in a sustainable way. Integrated assessment and modelling (IAM) can provide insight into the potential impacts of policy changes. However, concepts to address the wide range of issues and functions typical for agriculture are still scarce. Environmental and Agricultural Modelling reviews and presents our current understanding of integrated and working tools to assess and compute, ex-ante, alternative agricultural and environmental policy options, allowing: 1. Analysis at the full range of scales (farm to European Union and global) whilst focusing on the most important issues emerging at each scale; 2. Analysis of the environmental, economic and social contributions of agricultural systems towards sustainable rural development and rural viability; 3. Analysis of a broad range of issues and agents of change, such as climate change, environmental policies, rural development options, effects of an enlarging EU, international competition, and effects on developing countries.

Author : Christian J. Peters
Publisher : Academic Press
Page : 390 pages
File Size : 43,82 MB
Release : 2022-01-08
Category : Science
ISBN : 0128221100

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Food Systems Modelling 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. Sections introduce the purpose of models, the definition of a food system, the importance of disciplinary, interdisciplinary, and transdisciplinary inquiry, cover specific branches of modeling in the sustainability of food systems, and wrestle with the challenge of communicating modeling research and appropriately integrating multiple dimensions of sustainability. This book 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 the 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

Author : George Vlontzos
Publisher : CRC Press
Page : 248 pages
File Size : 36,79 MB
Release : 2021-12-22
Category : Nature
ISBN : 0429590792

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Recent developments in computer science, data mining and big data analytics have resulted in new operational frameworks in agriculture, food and the environment, which in fact, share a strong link between them. A key challenge for researchers is to extract new data patterns and utilize them in decision making. Managers, policy makers, and practitioners have to be aware of these methodologies in order to establish efficient and effective working groups for the tasks to be resolved. The book reviews the complexity of the interrelationship between agriculture, food production and processing, and environmental issues. It also highlights the prospects of modeling in various cases of problem solving in these sectors, and reviews the new and future challenges. Consumer awareness in food production and processing practices is continually increasing and the necessity for advanced behavioural tools follows the same trend. Furthermore, the value chain management challenge is becoming one of the most crucial tasks due to the increased importance of new parameters like the origin of products, its environmental footprint and the enhancement of local production, etc. The book addresses these topics in a holistic approach, merging modeling with advanced marketing practices in a coherent and innovative manner, being an effective tool in a continuously demanding world.

Author : Kenneth Boote
Publisher : Burleigh Dodds Series in Agric
Page : 420 pages
File Size : 48,80 MB
Release : 2019-10-22
Category : Technology & Engineering
ISBN : 9781786762405

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Crop modelling has huge potential to improve decision making in farming. This collection reviews advances in next-generation models focused on user needs at the whole farm system and landscape scale.

Author : Bo Weidema
Publisher : Burleigh Dodds Series in Agric
Page : 300 pages
File Size : 25,78 MB
Release : 2019-03-22
Category : Technology & Engineering
ISBN : 9781786762283

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This book reviews key methods for measuring the environmental impact of agriculture. Part 1 reviews life cycle assessment (LCA) methodology. Part 2 reviews ways of modelling particular types of impact whilst the final part covers particular agricultural sectors.

Author : Daniel Wallach
Publisher : Academic Press
Page : 504 pages
File Size : 50,49 MB
Release : 2013-11-25
Category : Business & Economics
ISBN : 0444594469

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This second edition of Working with Dynamic Crop Models is meant for self-learning by researchers or for use in graduate level courses devoted to methods for working with dynamic models in crop, agricultural, and related sciences. Each chapter focuses on a particular topic and includes an introduction, a detailed explanation of the available methods, applications of the methods to one or two simple models that are followed throughout the book, real-life examples of the methods from literature, and finally a section detailing implementation of the methods using the R programming language. The consistent use of R makes this book immediately and directly applicable to scientists seeking to develop models quickly and effectively, and the selected examples ensure broad appeal to scientists in various disciplines. 50% new content – 100% reviewed and updated Clearly explains practical application of the methods presented, including R language examples Presents real-life examples of core crop modeling methods, and ones that are translatable to dynamic system models in other fields

Author : Wade E. Martin
Publisher : Springer Science & Business Media
Page : 207 pages
File Size : 30,57 MB
Release : 2012-12-06
Category : Business & Economics
ISBN : 9401153728

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Modeling Environmental Policy demonstrates the link between physical models of the environment and policy analysis in support of policy making. Each chapter addresses an environmental policy issue using a quantitative modeling approach. The volume addresses three general areas of environmental policy - non-point source pollution in the agricultural sector, pollution generated in the extractive industries, and transboundary pollutants from burning fossil fuels. The book concludes by discussing the modeling efforts and the use of mathematical models in general.

Author : K.C.Ting
Publisher : EOLSS Publications
Page : 488 pages
File Size : 28,31 MB
Release : 2009-02-12
Category :
ISBN : 1848261330

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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.

Author : Daniel Wallach
Publisher : Academic Press
Page : 616 pages
File Size : 40,89 MB
Release : 2018-09-25
Category : Technology & Engineering
ISBN : 0128117575

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Working with Dynamic Crop Models: Methods, Tools and Examples for Agriculture and Environment, 3e, is a complete guide to working with dynamic system models, with emphasis on models in agronomy and environmental science. The introductory section presents the foundational information for the book including the basics of system models, simulation, the R programming language, and the statistical notions necessary for working with system models. The most important methods of working with dynamic system models, namely uncertainty and sensitivity analysis, model calibration (frequentist and Bayesian), model evaluation, and data assimilation are all treated in detail, in individual chapters. New chapters cover the use of multi-model ensembles, the creation of metamodels that emulate the more complex dynamic system models, the combination of genetic and environmental information in gene-based crop models, and the use of dynamic system models to aid in sampling. The book emphasizes both understanding and practical implementation of the methods that are covered. Each chapter simply and clearly explains the underlying principles and assumptions of each method that is presented, with numerous examples and illustrations. R code for applying the methods is given throughout. This code is designed so that it can be adapted relatively easily to new problems. An expanded introductory section presents the basics of dynamic system modeling, with numerous examples from multiple fields, plus chapters on numerical simulation, statistics for modelers, and the R language Covers in detail the basic methods: uncertainty and sensitivity analysis, model calibration (both frequentist and Bayesian), model evaluation, and data assimilation Every method chapter has numerous examples of applications based on real problems, as well as detailed instructions for applying the methods to new problems using R Each chapter has multiple exercises for self-testing or for classroom use An R package with much of the code from the book can be freely downloaded from the CRAN package repository