Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

Deep learning methods such as multilayer perceptrons (MLPs) and convolutional neural networks (CNNs) have been applied to predict the complex traits in animal and plant breeding. However, it remains ...

Researchers are trying to understand why some wild species do better than others over time, as the environment changes.

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...