Methods of Introducing System Models into Agricultural Research

Methods of Introducing System Models into Agricultural Research PDF Author: Lajpat R. Ahuja
Publisher: John Wiley & Sons
ISBN: 0891181806
Category : Technology & Engineering
Languages : en
Pages : 480

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Book Description
Why model? Agricultural system models enhance and extend field research...to synthesize and examine experiment data and advance our knowledge faster, to extend current research in time to predict best management systems, and to prepare for climate-change effects on agriculture. The relevance of such models depends on their implementation. Methods of Introducing System Models into Agricultural Research is the ultimate handbook for field scientists and other model users in the proper methods of model use. Readers will learn parameter estimation, calibration, validation, and extension of experimental results to other weather conditions, soils, and climates. The proper methods are the key to realizing the great potential benefits of modeling an agricultural system. Experts cover the major models, with the synthesis of knowledge that is the hallmark of the Advances in Agricultural Systems Modeling series.

Methods of Introducing System Models Into Agricultural Research

Methods of Introducing System Models Into Agricultural Research PDF Author: Lajpat Ahuja
Publisher:
ISBN: 9780891181965
Category : Agricultural mathematics
Languages : en
Pages : 454

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Book Description


Enhancing Agricultural Research and Precision Management for Subsistence Farming by Integrating System Models with Experiments

Enhancing Agricultural Research and Precision Management for Subsistence Farming by Integrating System Models with Experiments PDF Author: Dennis J. Timlin
Publisher: John Wiley & Sons
ISBN: 0891183906
Category : Technology & Engineering
Languages : en
Pages : 212

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Book Description
Enhancing Agricultural Research and Precision Management for Subsistence Farming Insightful applications of crop system models to developing countries to explore climate change mitigation and management decision tools Enhancing Agricultural Research and Precision Management for Subsistence Farming by Integrating System Models with Experiments delivers an authoritative collection of applications of crop system models to Asian and African environments and evaluates current agricultural systems in developing nations. The book provides models to assist in the precision management of soil, water, fertilizers and manures, soil organic matter, alternative crops, and cultivars in both rainfed and irrigated systems. Contributions cover recent and ongoing research in knowledge gap areas such as modeling the long-term effect of management soil health, the effect of extreme temperatures and drought on evapotranspiration and crop growth, root growth and the uptake of water and nutrients. The book also includes An introduction to system models integrated with experiments as tools to develop improved management practices for subsistence farming Explorations of models of soil erosion impacts and trade-offs for sustainable land management practices in Kenya Discussions of the crop simulation model as a tool to quantify the effects of crop management practices in northern Ethiopia In-depth examinations of models of water dynamics for assessing and managing ecosystem services in India Perfect for field research scientists and graduate students studying cropping and range systems, and essential reading for agricultural consultants, progressive farmers, plant breeders, and policymakers. Advances in Agricultural Systems Modeling Transdisciplinary Research, Synthesis, and Applications Lajpat R. Ahuja, Series Editor Agricultural system modeling has made substantial progress, but there are still many critical gaps in our knowledge. The American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America are taking a leadership role with the initiation of this new series. Future breakthroughs in science and technology lie at the boundaries of disciplines. The new series will Advance critical transdisciplinary research, and its synthesis and quantification Encourage collaboration among top researchers in building and improving models Promote the application of system models to solve practical problems Achieve better instruction in these models and their applications

Agricultural System Models in Field Research and Technology Transfer

Agricultural System Models in Field Research and Technology Transfer PDF Author: Lajpat R. Ahuja
Publisher: CRC Press
ISBN: 1420032410
Category : Science
Languages : en
Pages : 376

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Book Description
Most books covering the use of computer models in agricultural management systems target only one or two types of models. There are few texts available that cover the subject of systems modeling comprehensively and that deal with various approaches, applications, evaluations, and uses for technology transfer. Agricultural System Models in Field Res

Science Breakthroughs to Advance Food and Agricultural Research by 2030

Science Breakthroughs to Advance Food and Agricultural Research by 2030 PDF Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309473926
Category : Science
Languages : en
Pages : 243

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Book Description
For nearly a century, scientific advances have fueled progress in U.S. agriculture to enable American producers to deliver safe and abundant food domestically and provide a trade surplus in bulk and high-value agricultural commodities and foods. Today, the U.S. food and agricultural enterprise faces formidable challenges that will test its long-term sustainability, competitiveness, and resilience. On its current path, future productivity in the U.S. agricultural system is likely to come with trade-offs. The success of agriculture is tied to natural systems, and these systems are showing signs of stress, even more so with the change in climate. More than a third of the food produced is unconsumed, an unacceptable loss of food and nutrients at a time of heightened global food demand. Increased food animal production to meet greater demand will generate more greenhouse gas emissions and excess animal waste. The U.S. food supply is generally secure, but is not immune to the costly and deadly shocks of continuing outbreaks of food-borne illness or to the constant threat of pests and pathogens to crops, livestock, and poultry. U.S. farmers and producers are at the front lines and will need more tools to manage the pressures they face. Science Breakthroughs to Advance Food and Agricultural Research by 2030 identifies innovative, emerging scientific advances for making the U.S. food and agricultural system more efficient, resilient, and sustainable. This report explores the availability of relatively new scientific developments across all disciplines that could accelerate progress toward these goals. It identifies the most promising scientific breakthroughs that could have the greatest positive impact on food and agriculture, and that are possible to achieve in the next decade (by 2030).

Working with Dynamic Crop Models

Working with Dynamic Crop Models PDF Author: Daniel Wallach
Publisher: Academic Press
ISBN: 0128117575
Category : Science
Languages : en
Pages : 613

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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.

Systems Research for Agriculture

Systems Research for Agriculture PDF Author: Laurie E. Drinkwater
Publisher: Department of Agriculture
ISBN: 9781888626162
Category : Agricultural systems
Languages : en
Pages :

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Book Description


Modeling Processes and Their Interactions in Cropping Systems

Modeling Processes and Their Interactions in Cropping Systems PDF Author: Lajpat R. Ahuja
Publisher: John Wiley & Sons
ISBN: 0891183876
Category : Technology & Engineering
Languages : en
Pages : 420

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Book Description
Modeling Processes and Their Interactions in Cropping Systems A complete discussion of soil-plant-climate-management processes In Modeling Processes and Their Interactions in Cropping Systems: Challenges for the 21st Century, a team of distinguished researchers delivers a comprehensive and up-to-date scientific textbook devoted to teaching the modeling of soil-plant-climate-management processes at the upper undergraduate and graduate levels. The book emphasizes the new opportunities and paradigms available to modern lab and field researchers and aims to improve their understanding and quantification of individual processes and their interactions. The book helps readers quantify field research results in terms of the fundamental theory and concepts broadly generalizable beyond specific sites, as well as predict experimental results from knowledge of the fundamental factors that determine the environment and plant growth in different climates. Readers will also discover: An introduction to water and chemical transport in the soil matrix and macropores Explorations of heat transport, water balance, snowpack, and soil freezing Discussions of merging machine learning with APSIM models to improve the evaluation of the impact of climate extremes on wheat yields in Australia Examinations of the quantification and modeling of management effects on soil properties, including discussions of tillage, reconsolidation, crop residues, and crop management The book will be essential reading for anyone interested in the 2030 breakthroughs in agriculture identified by the National Academies of Sciences, Engineering, and Medicine.

Opportunities, use, and transfer of systems research methods in agriculture to developing countries

Opportunities, use, and transfer of systems research methods in agriculture to developing countries PDF Author: Goldsworthy
Publisher: Springer Science & Business Media
ISBN: 9401107645
Category : Technology & Engineering
Languages : en
Pages : 359

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Book Description
In December 1993, ISNAR, in collaboration with International Consortium for Application of Systems Approaches, organized a three-day workshop on systems approaches and modelling for agricultural development. Sponsored by the Dutch Ministry for Development Cooperation, the workshop was attended by participants from 12 national agricultural research systems (NARS), nine international agricul tural research centers (lARCs), and five advanced research organizations (AROs). Although application of systems approaches in agricultural research and resource management is a rather new field, there is already increasing demand for implemen tation of these approaches. This will require a critical mass of specialists in the NARS and IARCs. Before this critical mass can be obtained, however, the experience that has been gained in this area needs to be evaluated, further possibilities need to be explored, and new objectives and targets need to be set. This book, which contains the papers presented at the workshop, assesses the state of the art of systems approaches in agricultural research, resource management, and rural planning. It also gives an impression of the evolution of this interdisciplinary field and its use in national and international research centers. Another, less tangible, outcome of the workshop was its contribution toward strengthening the network of NARS, lARCs, and AROs. It gave participants and organizers a chance to develop contacts, and provided an opportunity to make the first proposals for collaborative programs. Special thanks are due to Peter Goldsworthy and Luc Boerboom for their crucial role in making the workshop a success in this regard.

Bridging Among Disciplines by Synthesizing Soil and Plant Processes

Bridging Among Disciplines by Synthesizing Soil and Plant Processes PDF Author: Ole Wendroth
Publisher: John Wiley & Sons
ISBN: 0891183647
Category : Technology & Engineering
Languages : en
Pages : 304

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Book Description
In the 8th book of Dr. Ahuja’s innovative “Advances in Agricultural Systems Modeling” series, authors give a look into the future of climatesmart agricultural systems, emphasizing the integration of soil, weather, vegetation and management information to predict relevant agro-ecosystem processes. Expansion of data availability, improvement of sensors, and computational power have opened opportunities in modeling and exploration of management impact. Authors give a background on model development and explain soil, plant, and climate processes and their interactions that encompass the wide range of applications of simulation models to address challenges in managing our resources and complex agricultural systems.