Training Instance Segmentation Neural Network with Synthetic Datasets for Seed Phenotyping

First appearing on Phys.Org, Lab.Equipment presents this article to cover your daily Biology industry news fix.

In the midst of unprecedented climate change and population growth, the establishment of a method to rapidly create elite crop varieties via selective breeding is a matter of urgency to maintain the food supply. In order to select such cultivars, it is necessary to define and evaluate a metric for what is a 'superior variety' in an efficient manner. For example, the shape of seeds is understood to be a trait closely linked to the quality and yield of crops, and is thus an important factor when conducting selective breeding.... You can read the full article in the Phys.Org Blog.

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