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Working With Dynamic Crop Models

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Working with Dynamic Crop Models

Working with Dynamic Crop Models Book
Author : Daniel Wallach,David Makowski,James W. Jones,Francois Brun
Publisher : Academic Press
Release : 2013-11-25
ISBN : 0444594469
Language : En, Es, Fr & De

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Book Description :

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. New to this edition: 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

Working with Dynamic Crop Models

Working with Dynamic Crop Models Book
Author : Daniel Wallach,David Makowski,James W. Jones
Publisher : Academic Press
Release : 2018-11-13
ISBN : 9780444638007
Language : En, Es, Fr & De

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Book Description :

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. New to this edition: 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

Working with Dynamic Crop Models

Working with Dynamic Crop Models Book
Author : Francois Brun,Daniel Wallach,David Makowski,James W. Jones
Publisher : Elsevier
Release : 2006-05-10
ISBN : 9780080461939
Language : En, Es, Fr & De

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Book Description :

Mathematical models are being used more and more widely to study complex dynamic systems (global weather, ecological systems, hydrological systems, nuclear reactors etc. including the specific subject of this book, crop-soil systems). The models are important aids in understanding, predicting and managing these systems. Such models are complex and imperfect. One fundamental research direction is to seek a better understanding of how these systems function, and to propose mathematical expressions embodying that understanding. However, this is not sufficient. It is also essential to have tools (often mathematical and statistical methods) to aid in developing, improving and using the models built from those equations. The book is specifically concerned with the application of methods to crop models, but much of the material is also applicable to dynamic system models in other fields. The goal of this book is to fill that gap. * State-of-the-art methods explained simply and illustrated specifically for crop models * Parameter estimation – applying statistical methods to the complex case of crop models, including Bayesian methods * Includes model evaluation, understanding and estimating prediction error * Offers a unique data assimilation by using the Kalman filter and beyond

Crop Modeling and Decision Support

Crop Modeling and Decision Support Book
Author : Weixing Cao,Jeffrey W. White,Enli Wang
Publisher : Springer Science & Business Media
Release : 2010-07-10
ISBN : 3642011322
Language : En, Es, Fr & De

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Book Description :

"Crop Modeling and Decision Support" presents 36 papers selected from the International Symposium on Crop Modeling and Decision Support (ISCMDS-2008), held at Nanjing of China from 19th to 22nd in April, 2008. Many of these papers show the recent advances in modeling crop and soil processes, crop productivity, plant architecture and climate change; the rests describe the developments in model-based decision support systems (DSS), model applications, and integration of crop models with other information technologies. The book is intended for researchers, teachers, engineers, and graduate students on crop modeling and decision support. Dr. Weixing Cao is a professor at Nanjing Agricultural University, China.

Modeling Physiology of Crop Development Growth and Yield

Modeling Physiology of Crop Development  Growth and Yield Book
Author : Afshin Soltani,Thomas R. Sinclair
Publisher : CABI
Release : 2012
ISBN : 1845939700
Language : En, Es, Fr & De

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Book Description :

Model studies focus experimental investigations to improve our understanding and performance of systems. Concentrating on crop modelling, this book provides an introduction to the concepts of crop development, growth, and yield, with step-by-step outlines to each topic, suggested exercises and simple equations. A valuable text for students and researchers of crop development alike, this book is written in five parts that allow the reader to develop a solid foundation and coverage of production models including water- and nitrogen-limited systems.

Crop soil Simulation Models

Crop soil Simulation Models Book
Author : William Stephens
Publisher : CABI
Release : 2002-07-22
ISBN : 9780851998541
Language : En, Es, Fr & De

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Book Description :

The use of crop-soil modelling has so far been mainly confined to the research community. Practical applications have occurred in the areas of decision tools for irrigation studies and pest management. However, there is potential to increase its applied use.This book reviews progress in crop-soil simulation modelling and assesses its application to agriculture in developing countries. It is based on work sponsored by the Natural Resources Systems Programme of the UK Department for International Development.

Crop Systems Dynamics

Crop Systems Dynamics Book
Author : YIN Xinyou,H.H. van Laar
Publisher : Wageningen Academic Publishers
Release : 2005-03-08
ISBN : 9086865399
Language : En, Es, Fr & De

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Book Description :

This book presents a generic process-based crop growth model, GECROS (Genotype-by-Environment interaction on CROp growth Simulator), recently developed in Wageningen. The model uses robust yet simple algorithms to summarize the current knowledge of individual physiological processes and their interactions and feedback mechanisms. It was structured from the basics of whole-crop systems dynamics to embody the physiological causes rather than descriptive algorithms of the emergent consequences. It also attempts to model each process at a consistent level of detail, so that no area is overemphasized and similarly no area is treated in a trivial manner. Main attention has been paid to interactive aspects in crop growth such as photosynthesis-transpiration coupling via stomatal conductance, carbon-nitrogen interaction on leaf area index, functional balance between shoot and root activities, and interplay between source supply and sink demand on reserve formation and remobilization. GECROS combines robust model algorithm, high computational efficiency, and accurate model output with minimum number of input parameters that require periodical destructive sampling to estimate.

Working with Dynamic Crop Models

Working with Dynamic Crop Models Book
Author : Daniel Wallach,David Makowski,James W. Jones,Francois Brun
Publisher : Academic Press
Release : 2018-10-10
ISBN : 9780128117569
Language : En, Es, Fr & De

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Book Description :

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.

Advances in Crop Modelling for a Sustainable Agriculture

Advances in Crop Modelling for a Sustainable Agriculture Book
Author : Kenneth Boote
Publisher : Burleigh Dodds Series in Agric
Release : 2019-10-22
ISBN : 9781786762405
Language : En, Es, Fr & De

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Book Description :

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.

Conceptual Basis Formalisations and Parameterization of the Stics Crop Model

Conceptual Basis  Formalisations and Parameterization of the Stics Crop Model Book
Author : Nadine Brisson,Marie Launay,Bruno Mary,Nicolas Beaudoin
Publisher : Editions Quae
Release : 2009-01-19
ISBN : 2759201694
Language : En, Es, Fr & De

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Book Description :

The STICS crop model has been developed since 1996 at INRA in collaboration with other research and technical institutes. The model syntheses, illustrates and concretizes an important part of the French agronomic knowledge as a point of view on the field and cropping systems working. The formalisations of the STICS crop model presented in this book can be considered as references used in the framework of crop sciences. The book arrangement relies on the way the model designs the crop-soil system functioning, each chapter being devoted to a set of important functions such as growth initiation, yield onset, water uptake, transformation of organic matter etc. One chapter deals with the cropping system and long term simulations and the final chapter is about the involvement of the user in terms of option choices and parameterization. If this book is mainly intended for scientists who use the STICS model, it can also be useful for agronomists, crop modellers, students and technicians looking for elementary formalizations of the crop-soil system functioning.

Working with Dynamic Crop Models

Working with Dynamic Crop Models Book
Author : Daniel Wallach,David Makowski,James W. Jones,Francois Brun
Publisher : Academic Press
Release : 2014-02-11
ISBN : 9780123970084
Language : En, Es, Fr & De

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Book Description :

This textbook covers 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.

Working with Dynamic Crop Models

Working with Dynamic Crop Models Book
Author : Daniel Wallach,David Makowski,James Wigington Jones
Publisher : Elsevier Science Limited
Release : 2006
ISBN : 9780444521354
Language : En, Es, Fr & De

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Book Description :

This book focuses on methods for working with crop models, and in particular on mathematical and statistical methods. Most crop modelers are painfully aware of the need for such methods. Parameter estimation, model evaluation and sensitivity analysis are called for in essentially every modeling project. Other methods treated in this book, related to the use of in-season measurements for improving model predictions, to optimization of management decisions, to the use of models on a large spatial scale or to the use of models to aid in genetic improvement of crops, are also important but only in certain cases. In crop modeling as in all fields it is a challenge to keep up with progress, and this is particularly difficult when it comes to mathematical and statistical methods, which are developed outside the framework of crop models. The purpose of this book is to make these methods easily available to crop modelers. We felt that there is a gap in the literature in this respect. Many books treat the way to describe a crop system in terms of equations, but none seem to provide an in-depth presentation of a large range of methods for crop models. This book is intended for use in a graduate level course in crop modeling (hence the exercises), and for researchers who wish to use crop models. It should be useful to biologists, agronomists, and plant physiologists who are comfortable with describing and quantifying the soil-plant-atmosphere system, but are not familiar with rigorous methods for dealing with complex dynamic models. Others who may benefit are students and researchers with more mathematical and statistical backgrounds who are interested in the applications of applied mathematics to crop models. The emphasis throughout is on crop models, but in fact, much of the material applies more generally to dynamic models of complex systems. * State-of-the-art methods explained simply and illustrated specifically for crop models * Parameter estimation - applying statistical methods to the complex case of crop models, including Bayesian methods * Includes model evaluation, understanding and estimating prediction error * Offers a unique data assimilation by using the Kalman filter and beyond

Landscape Modelling and Decision Support

Landscape Modelling and Decision Support Book
Author : Wilfried Mirschel,Vitaly V. Terleev,Karl-Otto Wenkel
Publisher : Springer Nature
Release : 2020-03-02
ISBN : 3030374211
Language : En, Es, Fr & De

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Book Description :

This book contributes to a deeper understanding of landscape and regional modelling in general, and its broad range of facets with respect to various landscape parameters. It presents model approaches for a number of ecological and socio-economic landscape indicators, and also describes spatial decision support systems (DSS), frameworks, and model-based tools, which are prerequisites for deriving sustainable decision and solution strategies for the protection of comprehensively functioning landscapes. While it mainly focuses on the latest research findings in regional modelling and DSS in Europe, it also highlights the work of scientists from Russia. The book is intended for landscape modellers, scientists from various fields of landscape research, university teaching staff, and experts in landscape planning and management, landscape conservation and landscape policy.

ORYZA2000

ORYZA2000 Book
Author : Anonim
Publisher : IRRI
Release : 2001
ISBN : 9712201716
Language : En, Es, Fr & De

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Book Description :

Download ORYZA2000 book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Remote Sensing Applications for Agriculture and Crop Modelling

Remote Sensing Applications for Agriculture and Crop Modelling Book
Author : Piero Toscano
Publisher : MDPI
Release : 2020-02-13
ISBN : 3039282263
Language : En, Es, Fr & De

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Book Description :

Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental impact, while increasing production and productivity. The eighteen papers published in this Special Issue, although not representative of all the work carried out in the field of Remote Sensing for agriculture and crop modeling, provide insight into the diversity and the complexity of developments of RS applications in agriculture. Five thematic focuses have emerged from the published papers: yield estimation, land cover mapping, soil nutrient balance, time-specific management zone delineation and the use of UAV as agricultural aerial sprayers. All contributions exploited the use of remote sensing data from different platforms (UAV, Sentinel, Landsat, QuickBird, CBERS, MODIS, WorldView), their assimilation into crop models (DSSAT, AQUACROP, EPIC, DELPHI) or on the synergy of Remote Sensing and modeling, applied to cardamom, wheat, tomato, sorghum, rice, sugarcane and olive. The intended audience is researchers and postgraduate students, as well as those outside academia in policy and practice.

Dynamic Models in Biology

Dynamic Models in Biology Book
Author : Stephen P. Ellner,John Guckenheimer
Publisher : Princeton University Press
Release : 2011-09-19
ISBN : 1400840961
Language : En, Es, Fr & De

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Book Description :

From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology. Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians. Linked to a Web site with computer-lab materials and exercises, Dynamic Models in Biology is a major new introduction to dynamic models for students in the biological sciences, mathematics, and engineering.

Computational Science ICCS 2020

Computational Science     ICCS 2020 Book
Author : Valeria V. Krzhizhanovskaya,Gábor Závodszky,Michael H. Lees,Jack J. Dongarra,Peter M. A. Sloot,Sérgio Brissos,João Teixeira
Publisher : Springer Nature
Release : 2020-06-19
ISBN : 3030504360
Language : En, Es, Fr & De

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Book Description :

The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic. Chapter ‘APE: A Command-Line Tool and API for Automated Workflow Composition’ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Food Systems Modelling

Food Systems Modelling Book
Author : Christian J. Peters,Dawn Thilmany
Publisher : Academic Press
Release : 2022-01-20
ISBN : 0128221100
Language : En, Es, Fr & De

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Book Description :

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

Agent Based Modeling for Archaeology

Agent Based Modeling for Archaeology Book
Author : Iza Romanowska,Colin D. Wren,Stefani A. Crabtree
Publisher : SFI Press
Release : 2021-08-02
ISBN : 1947864386
Language : En, Es, Fr & De

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Book Description :

To fully understand not only the past, but also the trajectories, of human societies, we need a more dynamic view of human social systems. Agent-based modeling (ABM), which can create fine-scale models of behavior over time and space, may reveal important, general patterns of human activity. Agent-Based Modeling for Archaeology is the first ABM textbook designed for researchers studying the human past. Appropriate for scholars from archaeology, the digital humanities, and other social sciences, this book offers novices and more experienced ABM researchers a modular approach to learning ABM and using it effectively. Readers will find the necessary background, discussion of modeling techniques and traps, references, and algorithms to use ABM in their own work. They will also find engaging examples of how other scholars have applied ABM, ranging from the study of the intercontinental migration pathways of early hominins, to the weather–crop–population cycles of the American Southwest, to the trade networks of Ancient Rome. This textbook provides the foundations needed to simulate the complexity of past human societies, offering researchers a richer understanding of the past—and likely future—of our species.

Understanding Options for Agricultural Production

Understanding Options for Agricultural Production Book
Author : G.Y. Tsuji,G. Hoogenboom,P.K. Thornton
Publisher : Springer Science & Business Media
Release : 2013-03-14
ISBN : 9401736243
Language : En, Es, Fr & De

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Book Description :

The first premise of this book is that farmers need access to options for improving their situation. In agricultural terms, these options might be manage ment alternatives or different crops to grow, that can stabilize or increase household income, that reduce soil degradation and dependence on off-farm inputs, or that exploit local market opportunities. Farmers need a facilitating environment, in which affordable credit is available if needed, in which policies are conducive to judicious management of natural resources, and in which costs and prices of production are stable. Another key ingredient of this facilitating environment is information: an understanding of which options are viable, how these operate at the farm level, and what their impact may be on the things that farmers perceive as being important. The second premise is that systems analysis and simulation have an impor tant role to play in fostering this understanding of options, traditional field experimentation being time-consuming and costly. This book summarizes the activities of the International Benchmark Sites Network for Agrotechnology Transfer (IBSNAT) project, an international initiative funded by the United States Agency for International Development (USAID). IBSNAT was an attempt to demonstrate the effectiveness of understanding options through systems analysis and simulation for the ultimate benefit of farm households in the tropics and subtropics. The idea for the book was first suggested at one of the last IBSNAT group meetings held at the University of Hawaii in 1993.