Working with Dynamic Crop Models

Working with Dynamic Crop Models
Author: Daniel Wallach,David Makowski,James W. Jones,Francois Brun
Publsiher: Academic Press
Total Pages: 613
Release: 2018-09-25
ISBN 10: 0128117575
ISBN 13: 9780128117576
Language: EN, FR, DE, ES & NL

Working with Dynamic Crop Models Book Review:

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.

Working with Dynamic Crop Models

Working with Dynamic Crop Models
Author: Daniel Wallach,David Makowski,James W. Jones,Francois Brun
Publsiher: Academic Press
Total Pages: 487
Release: 2014-02-11
ISBN 10: 9780123970084
ISBN 13: 0123970083
Language: EN, FR, DE, ES & NL

Working with Dynamic Crop Models Book Review:

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
Author: Francois Brun,Daniel Wallach,David Makowski,James W. Jones
Publsiher: Elsevier
Total Pages: 462
Release: 2006-05-10
ISBN 10: 9780080461939
ISBN 13: 008046193X
Language: EN, FR, DE, ES & NL

Working with Dynamic Crop Models Book Review:

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
Author: Weixing Cao,Jeffrey W. White,Enli Wang
Publsiher: Springer Science & Business Media
Total Pages: 333
Release: 2010-07-10
ISBN 10: 3642011322
ISBN 13: 9783642011320
Language: EN, FR, DE, ES & NL

Crop Modeling and Decision Support Book Review:

"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.

Advances in Crop Modelling for a Sustainable Agriculture

Advances in Crop Modelling for a Sustainable Agriculture
Author: Kenneth Boote
Publsiher: Burleigh Dodds Series in Agric
Total Pages: 420
Release: 2019-10-22
ISBN 10: 9781786762405
ISBN 13: 1786762404
Language: EN, FR, DE, ES & NL

Advances in Crop Modelling for a Sustainable Agriculture Book Review:

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.

Dynamic Models in Biology

Dynamic Models in Biology
Author: Stephen P. Ellner,John Guckenheimer
Publsiher: Princeton University Press
Total Pages: 352
Release: 2011-09-19
ISBN 10: 1400840961
ISBN 13: 9781400840960
Language: EN, FR, DE, ES & NL

Dynamic Models in Biology Book Review:

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.

Introduction to Mathematical Modeling of Crop Growth

Introduction to Mathematical Modeling of Crop Growth
Author: Christopher B. S. Teh
Publsiher: Dissertation.com
Total Pages: 280
Release: 2006
ISBN 10: 1581129998
ISBN 13: 9781581129991
Language: EN, FR, DE, ES & NL

Introduction to Mathematical Modeling of Crop Growth Book Review:

Learning mathematical modeling need not be difficult. Unlike other books, this book not only lists the equations one-by-one, but explains in detail how they are each derived, used, and finally assembled into a computer program for model simulations. This book shows how mathematics is applied in agriculture, in particular to modeling the growth and yield of a generic crop. Topics covered are agriculture meteorology, solar radiation interception and absorption, evapotranspiration, energy and soil water balance, soil water flow, photosynthesis, respiration, and crop growth development. Rather than covering many modeling approaches but in superficial detail, this book selects one or two widely-used modeling approaches and discusses about them in depth. Principles learned from this book equips readers when they encounter other modeling approaches or when they develop their own crop models.

Understanding Options for Agricultural Production

Understanding Options for Agricultural Production
Author: G.Y. Tsuji,G. Hoogenboom,P.K. Thornton
Publsiher: Springer Science & Business Media
Total Pages: 400
Release: 1998-01-31
ISBN 10: 9780792348337
ISBN 13: 0792348338
Language: EN, FR, DE, ES & NL

Understanding Options for Agricultural Production Book Review:

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.

Theoretical Production Ecology

Theoretical Production Ecology
Author: R. Rabbinge
Publsiher: Unknown
Total Pages: 301
Release: 1990
ISBN 10:
ISBN 13: WISC:89033415092
Language: EN, FR, DE, ES & NL

Theoretical Production Ecology Book Review:

Professor de Wit's valedictory address is included.

Mosby s Medical Dictionary

Mosby s Medical Dictionary
Author: Mosby
Publsiher: Elsevier
Total Pages: 1984
Release: 2016-05-06
ISBN 10: 9780323414258
ISBN 13: 0323414257
Language: EN, FR, DE, ES & NL

Mosby s Medical Dictionary Book Review:

Climate Change Effect on Crop Productivity

Climate Change Effect on Crop Productivity
Author: Rakesh S. Sengar,Kalpana Sengar
Publsiher: CRC Press
Total Pages: 538
Release: 2014-11-13
ISBN 10: 1482229218
ISBN 13: 9781482229219
Language: EN, FR, DE, ES & NL

Climate Change Effect on Crop Productivity Book Review:

Explore the Relationship between Crop and ClimateAgricultural sustainability has been gaining prominence in recent years and is now becoming the focal point of modern agriculture. Recognizing that crop production is very sensitive to climate change, Climate Change Effect on Crop Productivity explores this timely topic in-depth. Incorporating contri

Climate Change Modelling Planning and Policy for Agriculture

Climate Change Modelling  Planning and Policy for Agriculture
Author: Anil Kumar Singh,Jagdish Chander Dagar,Ayyanadar Arunachalam,Gopichandran R,Kirit Nanubhai Shelat
Publsiher: Springer
Total Pages: 245
Release: 2015-03-16
ISBN 10: 8132221575
ISBN 13: 9788132221579
Language: EN, FR, DE, ES & NL

Climate Change Modelling Planning and Policy for Agriculture Book Review:

It is well known that the impacts of climate change are tangible and hence there can be no debate about the need for appropriate adaptation measures, on a priority basis. However, it is equally important to recognize the fact that adaptation measures actually represent a dynamic synthesis of interventions pertaining to multiple systems. These are particularly of water, soil characteristics, genotypic and phenotypic variations and their expressions, age-correlated biochemical changes aligned with planting schedules and favorable weather/climate conditions. Nutrients, occurrence and distribution of associated vegetation including crop mixes also influence productivity. The overarching aspect of farming practice wields significant influence on the outcome and hence it is important to be clear about the particular focus of the investigations being carried out and reported in a suitable manner. It is essential to recognize that scientific research in agriculture in India has always produced valuable results of direct relevance to her people. Importantly, preparedness to tackle disasters due to inclement weather system has prominently featured on the agenda. The recent focus on climate change and impacts has provided the necessary impetus to reorganize the framework of investigation to capture the specifics of such impacts. In this context, the importance of micro climate variations too viz-a-viz the larger scales of impacts cannot be overemphasized. It will be useful to also help characterize natural variations versus artificially induced variations, helping us understand the complexities of individual and synergistic impacts too. Obviously, the limits and limitations of models could determine the spread and depth of the outcomes of investigations. Empirical evidences to reinforce assumptions have to also be documented with utmost care; guided by an understanding of the limits of tolerance, limiting factors, and the precautionary principle especially in the public policy interface. The present volume therefore, showcases these strands with the fond hope that they will stimulate further thinking and enable appropriate action.

Systems Modeling

Systems Modeling
Author: Mukhtar Ahmed
Publsiher: Springer Nature
Total Pages: 425
Release: 2020-07-13
ISBN 10: 9811547289
ISBN 13: 9789811547287
Language: EN, FR, DE, ES & NL

Systems Modeling Book Review:

Achieving food security and economic developmental objectives in the face of climate change and rapid population growth requires systems modelling approaches, for example in the design of sustainable agriculture farming systems. Such approaches increase our understanding of system responses to different soil and climatic conditions, and provide insights into the effects of various variable climate change scenarios, providing valuable information for decision-makers. Further, in the agricultural sector, systems modelling can help optimise crop management and adaptation measures to boost productivity under variable climatic conditions. Presenting key outcomes from crop models used in agricultural systems this book is a valuable resource for professionals interested in using modelling approaches to manage the growth and improve the quality of various crops.

A Model of Greenhouse Hydroponic Lettuce Production

A Model of Greenhouse Hydroponic Lettuce Production
Author: Lori S. Marsh
Publsiher: Unknown
Total Pages: 396
Release: 1987
ISBN 10:
ISBN 13: CORNELL:31924003769704
Language: EN, FR, DE, ES & NL

A Model of Greenhouse Hydroponic Lettuce Production Book Review:

A tool for climate smart crop insurance Combining farmers pictures with dynamic crop modelling for accurate yield estimation prior to harvest

A tool for climate smart crop insurance  Combining farmers    pictures with dynamic crop modelling for accurate yield estimation prior to harvest
Author: Singh, B. K.,Chakraborty, Dulal,Kalra, Naveen,Singh, Jaya
Publsiher: Intl Food Policy Res Inst
Total Pages: 27
Release: 2019-01-08
ISBN 10:
ISBN 13:
Language: EN, FR, DE, ES & NL

A tool for climate smart crop insurance Combining farmers pictures with dynamic crop modelling for accurate yield estimation prior to harvest Book Review:

The study found that dynamic crop models have the accuracy to predict normal to high yields, but there are limits to their ability to capture low yields. On the other hand, the machine learning (CNN) model has better ability to capture lower yields. It is worth noting that the crop model only took into consideration mainly the weather data to predict yields; it is handicapped by the paucity of detailed management information deployed by farmers. However, the pictures sent by farmers reflected more yield-determining characteristics that reflected crop health and yield and that were then captured by the CNN. Finally, among the picture characteristics parameters, if “GCC & H” correlations are high, this could be a good indicator of low yield.

Bulletin Organisation Internationale de Lutte Biologique Contre Les Animaux Et Les Plantes Nuisibles Section Regionale Quest Pal arctique

Bulletin Organisation Internationale de Lutte Biologique Contre Les Animaux Et Les Plantes Nuisibles  Section Regionale Quest Pal  arctique
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 2006
ISBN 10:
ISBN 13: CORNELL:31924101589756
Language: EN, FR, DE, ES & NL

Bulletin Organisation Internationale de Lutte Biologique Contre Les Animaux Et Les Plantes Nuisibles Section Regionale Quest Pal arctique Book Review:

Evaluating Climate Change Impacts

Evaluating Climate Change Impacts
Author: Vyacheslav Lyubchich,Yulia Gel,K. Halimeda Kilbourne,Thomas James Miller,Nathaniel K. Newlands,A. Smith
Publsiher: CRC Press
Total Pages: 382
Release: 2020-10-07
ISBN 10: 1351190822
ISBN 13: 9781351190824
Language: EN, FR, DE, ES & NL

Evaluating Climate Change Impacts Book Review:

Evaluating Climate Change Impacts discusses assessing and quantifying climate change and its impacts from a multi-faceted perspective of ecosystem, social, and infrastructure resilience, given through a lens of statistics and data science. It provides a multi-disciplinary view on the implications of climate variability and shows how the new data science paradigm can help us to mitigate climate-induced risk and to enhance climate adaptation strategies. This book consists of chapters solicited from leading topical experts and presents their perspectives on climate change effects in two general areas: natural ecosystems and socio-economic impacts. The chapters unveil topics of atmospheric circulation, climate modeling, and long-term prediction; approach the problems of increasing frequency of extreme events, sea level rise, and forest fires, as well as economic losses, analysis of climate impacts for insurance, agriculture, fisheries, and electric and transport infrastructures. The reader will be exposed to the current research using a variety of methods from physical modeling, statistics, and machine learning, including the global circulation models (GCM) and ocean models, statistical generalized additive models (GAM) and generalized linear models (GLM), state space and graphical models, causality networks, Bayesian ensembles, a variety of index methods and statistical tests, and machine learning methods. The reader will learn about data from various sources, including GCM and ocean model outputs, satellite observations, and data collected by different agencies and research units. Many of the chapters provide references to open source software R and Python code that are available for implementing the methods.

Mathematical Models in Agriculture

Mathematical Models in Agriculture
Author: J. H. M. Thornley,J. France
Publsiher: CABI
Total Pages: 906
Release: 2007
ISBN 10: 085199010X
ISBN 13: 9780851990101
Language: EN, FR, DE, ES & NL

Mathematical Models in Agriculture Book Review:

Role of mathematical models; Dynamic deterministic models; Mathematical programming; Basic biological processes; Growth functions; Simple dynamic growth models; Simple ecological models; Envinment and weather; Plant and crop processes; Crop models; Crop husbandry; Plant diseases and pests; Animal processes; Animal organs; Whole-animal models; Animal products; Animal husbandry; Animal diseases; Solutions exercises; Mathematical glossary.

International Workshop on Greenhouse Crop Models

International Workshop on Greenhouse Crop Models
Author: R. U. Larsen
Publsiher: Unknown
Total Pages: 146
Release: 1996
ISBN 10:
ISBN 13: WISC:89052502671
Language: EN, FR, DE, ES & NL

International Workshop on Greenhouse Crop Models Book Review:

Journal of the Indian Society of Agricultural Statistics

Journal of the Indian Society of Agricultural Statistics
Author: Indian Society of Agricultural Statistics
Publsiher: Unknown
Total Pages: 329
Release: 2003
ISBN 10:
ISBN 13: UOM:39015060910695
Language: EN, FR, DE, ES & NL

Journal of the Indian Society of Agricultural Statistics Book Review:

Includes articles along with Society's activities.