Simultaneously assess goat fat depots using ultrasound technology (RTU) in association with muliple PLS and ANN models. A network proposal
Conference Paper
Overview
Overview
abstract
A recent development to improve the prediction of goat body or carcass
composition in small has been made. With the perspective to use a unique
model to estimate body composition, based on a reduced number of
predictors a model using artificial neural networks was proposed. On this
sense the main objective of the present work will be to demonstrate the
necessity to organize a world network to build a great database, covering the
most relevant carcass and body compositions data, for the most important
goat breeds at different maturity degrees and with carcasses that
proportionate the development of general, robust, and more reliable models
to swiftly assess goat and carcass body compositions, as well as to implement
a modern and objective on-line technique for carcass evaluation and
marketing classification.
