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Subject: CALL FOR CHAPTER PROPOSALS - Computational Methods Applied to Agricultural Research: Advances and Applications
From: Homero Chaib Filho (homero@cpac.embrapa.br)
Date: Mon Mar 09 2009 - 17:03:02 CET
Please accept our apologies for crosspostings.
Also, please circulate this anounce among your colleagues.
CALL FOR CHAPTER PROPOSALS
_Proposals Submission Deadline: 5/13/2009_
Full Chapters Due: 8/31/2009
*Computational Methods Applied to Agricultural Research: Advances and
Applications*
A book edited by
Dr. Hércules Antonio do Prado, Embrapa -- Brazilian Agricultural
Research Corporation, and Catholic University of Brasília
Dr. Alfredo José Barreto Luiz Embrapa -- Brazilian Agricultural Research
Corporation and
Dr. Homero Chaib Filho Embrapa -- Brazilian Agricultural Research
Corporation
Introduction
Agricultural research refers to the application of broad scientific
knowledge to problems found in the agriculture context. This book aims
at providing a comprehensive and up-to-date reference on computational
methods applied to agricultural research. In the last 3 decades, the
increasing need for an adequate management of agricultural production in
the world has motivated many initiatives on the production side.
Initially, this led to the expansion of farmable land. Now, this
expansion will reach its limits in the near future. Considering the
drastic reduction in the availability of crop fields and the mandatory
sustainability of production, a huge research effort to overcome the
productivity limits is necessary. Innovations in the way we explore
natural resources are required, especially in regards to sustainable
development. In the context of */maximizing and sustaining resources/*,
*_computational tools, like simulation models, multiple criteria
decision making, optimization/maximization methods, remote sensing,
expert systems, machine learning, bioinformatics, data/text mining, and
descriptive data analysis_*, allow for the analysis of large data sets,
creating understanding for decision making. Such techniques have been
extensively applied to support agricultural research.
The proposed book will convey successful cases in which computational
techniques have led to improved results in solving agricultural research
problems. We are interested in ground results and the related conceptual
approaches rather than generic theoretical models. This book is mainly
addressed to those researchers and students that are looking for
practical applications of
sound theories.
Objective of the Book
The proposed book aims at providing a comprehensive text of the best and
most up --to-date results in computational methods applied to the
agricultural research. This book will provide researchers and
practitioners of agricultural development with a powerful tool to
improve results when searching for solutions to the serious problem of
managing agricultural production in the world. By gathering the most
relevant results in computational methods applied to agricultural
research, this book will be a reference for a large, world wide audience
that includes academia, governmental, and non-governmental agencies.
Target Audience
The target audience is scholars, researchers, graduate and undergraduate
students in the agriculture field from universities all around the world
and researchers at governmental and non-governmental agencies interested
in applying advanced methods to support the current agricultural
research practices.
Recommended topics include, but are not limited to, the following:
· Methods for assessing the agricultural expansion dynamics
· Use of multi-agent systems for agricultural decision making
· Qualitative reasoning for conceptual modeling in agricultural
research
· Multiple Criteria Decision Making
· Mathematical Programming
· Methods for estimating the agricultural production
· Building prospective scenarios for agricultural research
planning
· Building taxonomies from textual files
· Environmental impact analysis
· Clustering analysis in genetic sequencing
· Connectionist models for agricultural typology
· Methods for weather forecasting
· Modeling pedotransfer functions with connectionist models
· Image processing for fraud detection in the agricultural research
· Geographical information systems for natural resources
management
· Methods for uncertainty assessment
· Meta-analysis applied in groups of field experiments.
Submission Procedure
Researchers and practitioners are invited to submit on or before May 13,
2009, a 2-3 page chapter proposal clearly explaining the mission and
concerns of his or her proposed chapter. Authors of accepted proposals
will be notified by May 31 about the status of their proposals and sent
chapter guidelines. Full chapters are expected to be submitted by August
31, 2009. All submitted chapters will be reviewed on a double-blind
review basis. Contributors may also be requested to serve as reviewers
for this project.
Publisher
This book is scheduled to be published by IGI Global (formerly Idea
Group Inc.), publisher of the "Information Science Reference" (formerly
Idea Group Reference), "Medical Information Science Reference," and "IGI
Publishing" imprints. For additional information regarding the
publisher, please visit www.igi-global.com <http://www.igi-global.com>.
This publication is anticipated to be released in 2009.
Important Dates:
May 13, 2009: Proposal Submission Deadline
May 31, 2009: Notification of Acceptance
August 31, 2009: Full Chapter Submission
September 17, 2009: Review Result Returned
October 17, 2009: Final Chapter Submission
Editorial Advisory Board Members:
Dr. Carlos Romero Espanha, Universidad Politécnica de Madrid, Spain
Dr. Cláudio Chauke Nehme Brasil, Catholic University of Brasília, Brazil
Dr. Eduardo Delgado Assad, Embrapa Agriculture Informatics, Brazil
Dr. Eliseu Roberto de Andrade Alves, Brazilian Agricultural Research
Corporation, Brazil
Dr. Fernando Luis Garagorry Cassales, Embrapa Management and Strategy,
Brazil
Dr. Lucinio Júdez Asencio, Universidad Politécnica de Madrid, Spain
Dr. Miguel de Castro Neto, Universidade Nova de Lisboa, Portugal
Dr. Pierre Bommel, Cirad Ur Green, France
Dr. Russell S. Yost, University of Hawaii, USA
Dr. Wilson Alberto Contreras Espinosa, Universidad de Pamplona, Colombia
Inquiries and submissions can be forwarded electronically (Word
document) or by mail to:
Dr. Hércules Antonio do Prado, Dr. Alfredo José Barreto Luiz or Dr.
Homero Chaib Filho
hercules@ucb.br <mailto:hercules@ucb.br>; alfredo@cnpma.embrapa.br
<mailto:alfredo@cnpma.embrapa.br>; homero@cpac.embrapa.br
<mailto:homero@cpac.embrapa.br>
Missão da Embrapa Cerrados:
Gerar e viabilizar soluções por meio de pesquisa, desenvolvimento e
inovações para a sustentabilidade do Bioma cerrado, atendendo
às necessidades da sociedade brasileira.
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