The time required for germination increases prior to the loss of viability as seeds deteriorate during storage. We have developed a population-based threshold model that can quantify and predict seed ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

Genome-scale metabolic models have proven to be valuable for predicting organism phenotypes from genotypes. Yet efforts to develop new models are failing to keep pace with genome sequencing. To ...

Researchers at Google have open-sourced a new framework that can scale up artificial intelligence model training across thousands of machines. It’s a promising development because it should enable AI ...

The seed industry in the country is preparing for a shift in their business model — from B2B to B2C — after the government incentivised contract through an ordinance. Though it may take 6-8 years to ...