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(r).
Examples and exercises with solutions are provided at the end of
each chapter to facilitate the comprehension of the material. For
each data mining technique described in the book variants and
improvements of the basic algorithm are also given.
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