Advances in Modeling Agricultural Systems

Advances in Modeling Agricultural Systems

These components can be used as independent variables of nonlinear regression models. It is demonstrated that there is a nonlinear dependence between the vectors of principal components and chlorophyll concentration.

Author: Petraq Papajorgji

Publisher: Springer Science & Business Media

ISBN: 9780387751818

Category: Computers

Page: 522

View: 648

Agriculture has experienced a dramatic change during the past decades. The change has been structural and technological. Structural changes can be seen in the size of current farms; not long ago, agricultural production was organized around small farms, whereas nowadays the agricultural landscape is dominated by large farms. Large farms have better means of applying new technologies, and therefore technological advances have been a driving force in changing the farming structure. New technologies continue to emerge, and their mastery and use in requires that farmers gather more information and make more complex technological choices. In particular, the advent of the Internet has opened vast opportunities for communication and business opportunities within the agricultural com- nity. But at the same time, it has created another class of complex issues that need to be addressed sooner rather than later. Farmers and agricultural researchers are faced with an overwhelming amount of information they need to analyze and synthesize to successfully manage all the facets of agricultural production. This daunting challenge requires new and complex approaches to farm management. A new type of agricultural management system requires active cooperation among multidisciplinary and multi-institutional teams and ref- ing of existing and creation of new analytical theories with potential use in agriculture. Therefore, new management agricultural systems must combine the newest achievements in many scientific domains such as agronomy, economics, mathematics, and computer science, to name a few.
Categories: Computers

Advances in Modeling Agricultural Systems

Advances in Modeling Agricultural Systems

This book presents an up-to-date review of advances in the mathematical modeling of agricultural systems.

Author: Petraq J. Papajorgji

Publisher: Springer

ISBN: 1441945253

Category: Computers

Page: 522

View: 480

Agriculture has experienced a dramatic change during the past decades. The change has been structural and technological. Structural changes can be seen in the size of current farms; not long ago, agricultural production was organized around small farms, whereas nowadays the agricultural landscape is dominated by large farms. Large farms have better means of applying new technologies, and therefore technological advances have been a driving force in changing the farming structure. New technologies continue to emerge, and their mastery and use in requires that farmers gather more information and make more complex technological choices. In particular, the advent of the Internet has opened vast opportunities for communication and business opportunities within the agricultural com- nity. But at the same time, it has created another class of complex issues that need to be addressed sooner rather than later. Farmers and agricultural researchers are faced with an overwhelming amount of information they need to analyze and synthesize to successfully manage all the facets of agricultural production. This daunting challenge requires new and complex approaches to farm management. A new type of agricultural management system requires active cooperation among multidisciplinary and multi-institutional teams and ref- ing of existing and creation of new analytical theories with potential use in agriculture. Therefore, new management agricultural systems must combine the newest achievements in many scientific domains such as agronomy, economics, mathematics, and computer science, to name a few.
Categories: Computers

Modeling Processes and Their Interactions in Cropping Systems

Modeling Processes and Their Interactions in Cropping Systems

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.

Author: Lajpat R. Ahuja

Publisher: John Wiley & Sons

ISBN: 9780891183853

Category: Technology & Engineering

Page: 420

View: 400

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.
Categories: Technology & Engineering

Methods of Introducing System Models into Agricultural Research

Methods of Introducing System Models into Agricultural Research

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.

Author: Lajpat R. Ahuja

Publisher: John Wiley & Sons

ISBN: 9780891181804

Category: Technology & Engineering

Page: 480

View: 224

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.
Categories: Technology & Engineering

New Technologies for Constructing Complex Agricultural and Environmental Systems

New Technologies for Constructing Complex Agricultural and Environmental Systems

OMG unified modeling language: Superstructure - version 2.2. Retrieved June 2009, from http://www.omg.org/cgi-bin/ ... In P. Papajorgji & P. M. Pardalos (Eds.), Advances in modeling agricultural systems. New York: Springer.

Author: Papajorgji, Petraq

Publisher: IGI Global

ISBN: 9781466603349

Category: Political Science

Page: 417

View: 293

"This book presents high quality research on the design and implementation of information systems in the fields of agronomics, mathematics, economics, computer science, and the environment, offering holistic approaches to the design, development, and implementation of complex agricultural and environmental information systems"--Provided by publisher.
Categories: Political Science

Software Engineering Techniques Applied to Agricultural Systems

Software Engineering Techniques Applied to Agricultural Systems

Hunt, L.A., White, J.M., Hoogenboom, G.: Agronomic data: advances in documentation and protocols for exchange and use. Agric. ... Addison Wesley, Reading (2003) van Kraalingen, D.W.G.: The FSE system for crop simulation, version 2.1.

Author: Petraq J. Papajorgji

Publisher: Springer

ISBN: 9781489974631

Category: Business & Economics

Page: 301

View: 530

Software Engineering Techniques Applied to Agricultural Systems presents cutting-edge software engineering techniques for designing and implementing better agricultural software systems based on the object-oriented paradigm and the Unified Modeling Language (UML). The focus is on the presentation of rigorous step-by-step approaches for modeling flexible agricultural and environmental systems, starting with a conceptual diagram representing elements of the system and their relationships. Furthermore, diagrams such as sequential and collaboration diagrams are used to explain the dynamic and static aspects of the software system. This second edition includes: a new chapter on Object Constraint Language (OCL), a new section dedicated to the Model-VIEW-Controller (MVC) design pattern, new chapters presenting details of two MDA-based tools – the Virtual Enterprise and Olivia Nova and a new chapter with exercises on conceptual modeling. It may be highly useful to undergraduate and graduate students as the first edition has proven to be a useful supplementary textbook for courses in mathematical programming in agriculture, ecology, information technology, agricultural operations research methods, agronomy and soil science and applied mathematical modeling. The book has broad appeal for anyone involved in software development projects in agriculture and to researchers in general who are interested in modeling complex systems. From the reviews of the first edition: "The book will be useful for those interested in gaining a quick understanding of current software development techniques and how they are applied in practice... this is a good introductory text on the application of OOAD, UML and design patters to the creation of agricultural systems. It is technically sound and well written." —Computing Reviews, September 2006
Categories: Business & Economics

Advances in Crop Modelling for a Sustainable Agriculture

Advances in Crop Modelling for a Sustainable Agriculture

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: Kenneth Boote

Publisher: Burleigh Dodds Series in Agric

ISBN: 1786762404

Category: Technology & Engineering

Page: 420

View: 960

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.
Categories: Technology & Engineering

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

The case studies in this volume are promising examples of these kinds of soluti ons.

Author: Lajpat R. Ahuja

Publisher: John Wiley & Sons

ISBN: 9780891183433

Category: Technology & Engineering

Page: 464

View: 339

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.
Categories: Technology & Engineering

Geospatial Intelligence Concepts Methodologies Tools and Applications

Geospatial Intelligence  Concepts  Methodologies  Tools  and Applications

Using the unified modeling language to develop soil water-balance and irrigation-scheduling models. Environmental Modelling & Software, 19(5), ... Advances in Modeling Agricultural Systems. Springer. Pinet, F., Duboisset, M., ...

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781522580553

Category: Technology & Engineering

Page: 1853

View: 761

Decision makers, such as government officials, need to better understand human activity in order to make informed decisions. With the ability to measure and explore geographic space through the use of geospatial intelligence data sources including imagery and mapping data, they are better able to measure factors affecting the human population. As a broad field of study, geospatial research has applications in a variety of fields including military science, environmental science, civil engineering, and space exploration. Geospatial Intelligence: Concepts, Methodologies, Tools, and Applications explores multidisciplinary applications of geographic information systems to describe, assess, and visually depict physical features and to gather data, information, and knowledge regarding human activity. Highlighting a range of topics such as geovisualization, spatial analysis, and landscape mapping, this multi-volume book is ideally designed for data scientists, engineers, government agencies, researchers, and graduate-level students in GIS programs.
Categories: Technology & Engineering

Environmental Modeling for Sustainable Regional Development System Approaches and Advanced Methods

Environmental Modeling for Sustainable Regional Development  System Approaches and Advanced Methods

System Approaches and Advanced Methods Olej, Vladim¡r, Obr? lov , Ilona, Krupka, Jir¡. Buysse, J., Fernagut, B., & Harmignie, O., Frahan (de) B.H., Lauwers, L., Polomé, P., Huylenbroeck (van) G. & Meensel (Van), J. (2007). Farm-based ...

Author: Olej, Vladim¡r

Publisher: IGI Global

ISBN: 9781609601584

Category: Business & Economics

Page: 492

View: 426

Understanding the advancement of sustainable development is critical to managing human activities to avoid the overexploitation of resources and pollution of the environment beyond tolerable levels. Sustainable development involves not only preservation and care of the environment, but also recognition of the complex relations between economic, social and living systems. Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods presents processing methods and their applications, which are practical for decision making and task management at the regional level as well as for scientific studies in sustainable development assessment. This book serves as a reference guide for post-graduate students in the field of management as well as a critical guide for managers, government officials, and information professionals.
Categories: Business & Economics