Accurately and quickly binuclear cell (BC) detection plays a significant...
For a global breeding organization, identifying the next generation of
s...
Genomic selection (GS) is a technique that plant breeders use to select
...
We investigate the predictive performance of two novel CNN-DNN machine
l...
Several studies have shown that combining machine learning models in an
...
This study investigates whether coupling crop modeling and machine learn...
Feature selection, as a critical pre-processing step for machine learnin...
The emerge of new technologies to synthesize and analyze big data with
h...
Pre-season prediction of crop production outcomes such as grain yields a...
Aggregating multiple learners through an ensemble of models aims to make...