Key parameters set for training models.

<div><p>Floral area is a major predictor of the attractiveness of a flowering plant for pollinators, yet the measurement of floral area is time-consuming and inconsistent across studies. Here, we developed an AI-powered algorithm, FloralArea, to automate floral area measurement from an i...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Edward I. Amoah (22238275) (author)
مؤلفون آخرون:	Khayri White (22238278) (author), Harland M. Patch (10035565) (author), Christina M. Grozinger (10035568) (author)
منشور في:	2025
الموضوعات:	Biochemistry Biotechnology Ecology Plant Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified two main components inconsistent across studies area estimation module object segmentation module predicted floral area measured floral area actual floral area reference object segmentation div >< p floralarea algorithm reduced floralarea algorithm provides calculate floral area reference object pixels assessing plant attractiveness floral area reference object floralarea algorithm powered algorithm support plant flowering plant used imagej traditional methods test dataset major predictor impressive performance flowering plants automated calculation accessible tool 58 cm
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Key parameters set for training models.

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