Data Mining in Agriculture, 2009 Springer Optimization and Its Applications Series, Vol. 34

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 theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB®.

First textbook in data mining in agriculture

Presentation suitable for students, researchers, and professionals, in the classroom or as a self-study

Explores examples in agriculture/environmental fields

Provides Matlab codes to illustrate examples

Includes numerous exercises and some solutions