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Subject: Book: Computational Methods Applied to Agricultural Research: Advances and Applications - CALL FOR CHAPTERS
From: Homero Chaib Filho (homero@cpac.embrapa.br)
Date: Thu Feb 12 2009 - 01:31:00 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, 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 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. 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 alfredo@cnpma.embrapa.br 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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Confidentiality note
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