Data Mining in Agriculture
Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoreti
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Springer Optimization and Its Applications VOLUME 34 Managing Editor Panos M. Pardalos (University of Florida) Editor—Combinatorial Optimization Ding-Zhu Du (University of Texas at Dallas) Advisory Board J. Birge (University of Chicago) C.A. Floudas (Princeton University) F. Giannessi (University of Pisa) H.D. Sherali (Virginia Polytechnic and State University) T. Terlaky (McMaster University) Y. Ye (Stanford University)
Aims and Scope Optimization has been expanding in all directions at an astonishing rate during the last few decades. New algorithmic and theoretical techniques have been developed, the diffusion into other disciplines has proceeded at a rapid pace, and our knowledge of all aspects of the field has grown even more profound. At the same time, one of the most striking trends in optimization is the constantly increasing emphasis on the interdisciplinary nature of the field. Optimization has been a basic tool in all areas of applied mathematics, engineering, medicine, economics and other sciences. The Springer Optimization and Its Applications series publishes undergraduate and graduate textbooks, monographs and state-of-the-art expository works that focus on algorithms for solving optimization problems and also study applications involving such problems. Some of the topics covered include nonlinear optimization (convex and nonconvex), network flow problems, stochastic optimization, optimal control, discrete optimization, multiobjective programming, description of software packages, approximation techniques and heuristic approaches.
For other titles published in this series, go to www.springer.com/series/7393
DATA MINING IN AGRICULTURE
By ANTONIO MUCHERINO University of Florida, Gainesville, FL, USA PETRAQ J. PAPAJORGJI University of Florida, Gainesville, FL, USA PANOS M. PARDALOS University of Florida, Gainesville, FL, USA
Antonio Mucherino Institute of Food & Agricultural Information Technology Office University of Florida P.O. Box 110350 Gainesville, FL 32611 USA [email protected]
Petraq J. Papajorgji Institute of Food & Agricultural Information Technology Office University of Florida P.O. Box 110350 Gainesville, FL 32611 USA [email protected]
Panos M. Pardalos Department of Industrial & Systems Engineering University of Florida 303 Weil Hall Gainesville, FL 32611-6595 USA [email protected]
ISSN 1931-6828 ISBN 978-0-387-88614-5 e-ISBN 978-0-387-88615-2 DOI 10.1007/978-0-387-88615-2 Springer Dordrecht Heidelberg London New York Library of Congress Control Number: 2009934057 c Springer Science+Business Media, LLC 2009 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter develope
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