Tasselyzer, a machine learning method to quantify maize anther exertion, based on PlantCV.

Abstract excerpt

Maize anthers emerge from male-only florets, a process that involves complex genetic programming and is affected by environmental factors. Quantifying anther exertion provides a key indicator of male fertility; however, traditional manual scoring methods are often subjective and labor-intensive. To address this limitation, we developed Tasselyzer - an accessible, cost-effective, and time-saving method for...

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