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Automated Taxon Identification in Systematics - Theory, Approaches and Applications (Paperback)
Loot Price: R1,894
Discovery Miles 18 940
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Automated Taxon Identification in Systematics - Theory, Approaches and Applications (Paperback)
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Total price: R1,914
Discovery Miles: 19 140
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The automated identification of biological objects or groups has
been a dream among taxonomists and systematists for centuries.
However, progress in designing and implementing practical systems
for fully automated taxon identification has been frustratingly
slow. Regardless, the dream has never died. Recent developments in
computer architectures and innovations in software design have
placed the tools needed to realize this vision in the hands of the
systematics community, not several years hence, but now. And not
just for DNA barcodes or other molecular data, but for digital
images of organisms, digital sounds, digitized chemical data -
essentially any type of digital data. Based on evidence accumulated
over the last decade and written by applied researchers, Automated
Taxon Identification in Systematics explores contemporary
applications of quantitative approaches to the problem of taxon
recognition. The book begins by reviewing the current state of
systematics and placing automated taxon identification in the
context of contemporary trends, needs, and opportunities. The
chapters present and evaluate different aspects of current
automated system designs. They then provide descriptions of case
studies in which different theoretical and practical aspects of the
overall group-identification problem are identified, analyzed, and
discussed. A recurring theme through the chapters is the
relationship between taxonomic identification, automated group
identification, and morphometrics. This collection provides a
bridge between these communities and between them and the wider
world of applied taxonomy. The only book-length treatment that
explores automated group identification in systematic context, this
text also includes introductions to basic aspects of the fields of
contemporary artificial intelligence and mathematical group
recognition for the entire biological community.
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