CALL FOR CHAPTER PROPOSALS Proposal Submission Deadline: February
27, 2009 Computational
Methods Applied to Agricultural Research: Advances and Applications A book edited by Dr.
Hércules Antonio do Prado1,2,
Dr. Alfredo José Barreto Luiz1 and Dr. Homero Chaib Filho1 1Embrapa
– Brazilian Agricultural Research Corporation To be
published by IGI Global: http://www.igi-global.com/requests/details.asp?ID=594
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 February 27, 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: February
27, 2009: Proposal
Submission Deadline March
15, 2009: Notification
of Acceptance May 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. 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 -- Alfredo José Barreto Luiz - Pesquisador A Engenheiro Agrônomo - Registro Nacional no CREA 2606319362 MS - Estatística e Métodos Quantitativos, DR - Sensoriamento Remoto Embrapa Meio Ambiente - http://www.cnpma.embrapa.br PABX: (19) 3311-2700; Direto: (19) 3311-2694; Fax: (19) 3311-2640 Envie seus comentários, sugestões ou reclamações para sac@cnpma.embrapa.br Aviso de confidencialidade Esta mensagem da Empresa Brasileira de Pesquisa Agropecuária (Embrapa), empresa pública federal regida pelo disposto na Lei Federal no. 5.851, de 7 de dezembro de 1972, é enviada exclusivamente a seu destinatário e pode conter informações confidenciais, protegidas por sigilo profissional. Sua utilização desautorizada é ilegal e sujeita o infrator às penas da lei. Se você a recebeu indevidamente, queira, por gentileza, reenviá-la ao emitente, esclarecendo o equivoco. Confidentiality note: This message from Empresa Brasileira de Pesquisa Agropecuária (Embrapa), a government company established under Brazilian law (5.851/72), is directed exclusively to its addressee and may contain confidential data, protected under professional secrecy rules. Its unauthorized use is illegal and may subject the transgressor to the law's penalties. If you are not the addressee, please send it back, elucidating the failure. |