[HTML][HTML] Application of machine learning to improve dairy farm management: A systematic literature review
In recent years, several researchers and practitioners applied machine learning algorithms
in the dairy farm context and discussed several solutions to predict various variables of …
in the dairy farm context and discussed several solutions to predict various variables of …
[HTML][HTML] Comparison of modelling techniques for milk-production forecasting
The objective of this study was to assess the suitability of 3 different modeling techniques for
the prediction of total daily herd milk yield from a herd of 140 lactating pasture-based dairy …
the prediction of total daily herd milk yield from a herd of 140 lactating pasture-based dairy …
Comparison of the decision tree, artificial neural network and multiple regression methods for prediction of carcass tissues composition of goat kids
The aim of this study was to predict carcass tissue composition of goat kids using the
decision tree with CHAID algorithm (DT) and artificial neural network (ANN) method in …
decision tree with CHAID algorithm (DT) and artificial neural network (ANN) method in …
[HTML][HTML] Data mining and decision support systems for efficient dairy production
Gainful livestock farming requires selective breeding of animals with certain heritable
desirable traits which gives profitability in terms of farm produce. Modern dairy animals are …
desirable traits which gives profitability in terms of farm produce. Modern dairy animals are …
Comparison of predictive performance of data mining algorithms in predicting body weight in Mengali rams of Pakistan
S Celik, E Eyduran, K Karadas… - Revista Brasileira de …, 2017 - SciELO Brasil
The present study aimed at comparing predictive performance of some data mining
algorithms (CART, CHAID, Exhaustive CHAID, MARS, MLP, and RBF) in biometrical data of …
algorithms (CART, CHAID, Exhaustive CHAID, MARS, MLP, and RBF) in biometrical data of …
Comparison of control systems for the optimisation of ice storage in a dynamic real time electricity pricing environment
The objective of this study was to assess the benefits of introducing a demand side
management optimisation controller to a cold thermal storage ice bank. This controller …
management optimisation controller to a cold thermal storage ice bank. This controller …
Evaluation of normalization techniques on neural networks for the prediction of 305-day milk yield
In this study, the impact of data preprocessing on the prediction of 305-day milk yield using
neural networks were investigated with regard to the effect of different normalization …
neural networks were investigated with regard to the effect of different normalization …
[HTML][HTML] In vivo prediction of abdominal fat and breast muscle in broiler chicken using live body measurements based on machine learning
The purpose of this study was to predict the carcass characteristics of broilers using support
vector regression (SVR) and artificial neural network (ANN) model methods. Data were …
vector regression (SVR) and artificial neural network (ANN) model methods. Data were …
Comparison of artificial neural networks and multiple regression tools applied to near infrared spectroscopy for predicting sensory properties of products from quality …
M Hernandez-Jimenez, P Hernandez-Ramos… - Microchemical …, 2020 - Elsevier
In products from quality labels a sensory analysis is obligatory although this is a slow and
expensive process. This study examines the prediction of the sensory parameters of chorizo …
expensive process. This study examines the prediction of the sensory parameters of chorizo …
Determining point of economic cattle milk production through machine learning and evolutionary algorithm for enhancing food security
Artificial neural networks (ANNs) in conjugation with genetic algorithms (GAs) have been
demonstrated to be an effective tool for system modelling and optimization in a variety of …
demonstrated to be an effective tool for system modelling and optimization in a variety of …