[HTML][HTML] The role of sensors, big data and machine learning in modern animal farming
S Neethirajan - Sensing and Bio-Sensing Research, 2020 - Elsevier
Ever since man began domesticating animals several thousand years ago, we have always
relied on our intuition, collective knowledge, and sensory signals to make effective animal …
relied on our intuition, collective knowledge, and sensory signals to make effective animal …
Genomic selection in plant breeding: methods, models, and perspectives
Genomic selection (GS) facilitates the rapid selection of superior genotypes and accelerates
the breeding cycle. In this review, we discuss the history, principles, and basis of GS and …
the breeding cycle. In this review, we discuss the history, principles, and basis of GS and …
A review of deep learning applications for genomic selection
OA Montesinos-López, A Montesinos-López… - BMC genomics, 2021 - Springer
Abstract Background Several conventional genomic Bayesian (or no Bayesian) prediction
methods have been proposed including the standard additive genetic effect model for which …
methods have been proposed including the standard additive genetic effect model for which …
Predictive abilities of Bayesian regularization and Levenberg–Marquardt algorithms in artificial neural networks: a comparative empirical study on social data
M Kayri - Mathematical and Computational Applications, 2016 - mdpi.com
The objective of this study is to compare the predictive ability of Bayesian regularization with
Levenberg–Marquardt Artificial Neural Networks. To examine the best architecture of neural …
Levenberg–Marquardt Artificial Neural Networks. To examine the best architecture of neural …
Genomic selection: A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops
Since the inception of the theory and conceptual framework of genomic selection (GS),
extensive research has been done on evaluating its efficiency for utilization in crop …
extensive research has been done on evaluating its efficiency for utilization in crop …
Harnessing crop wild diversity for climate change adaptation
AJ Cortés, F López-Hernández - Genes, 2021 - mdpi.com
Warming and drought are reducing global crop production with a potential to substantially
worsen global malnutrition. As with the green revolution in the last century, plant genetics …
worsen global malnutrition. As with the green revolution in the last century, plant genetics …
Can deep learning improve genomic prediction of complex human traits?
The current excitement around artificial intelligence and the renewed interest in “deep
learning”(DL) have been applied to the genetic analysis of complex traits; however, the …
learning”(DL) have been applied to the genetic analysis of complex traits; however, the …
Genomic prediction in CIMMYT maize and wheat breeding programs
Genomic selection (GS) has been implemented in animal and plant species, and is
regarded as a useful tool for accelerating genetic gains. Varying levels of genomic …
regarded as a useful tool for accelerating genetic gains. Varying levels of genomic …
A guide on deep learning for complex trait genomic prediction
M Pérez-Enciso, LM Zingaretti - Genes, 2019 - mdpi.com
Deep learning (DL) has emerged as a powerful tool to make accurate predictions from
complex data such as image, text, or video. However, its ability to predict phenotypic values …
complex data such as image, text, or video. However, its ability to predict phenotypic values …
Prediction of seven-day compressive strength of field concrete
This study has explored nine machine learning methods that cover linear, non-linear, and
ensemble learning models to predict the compressive strength of field concrete at 7 days …
ensemble learning models to predict the compressive strength of field concrete at 7 days …