Results for evaluating the flower and reference object segmentation model with the test dataset. The flower segmentation model achieved moderate performance across all metrics (i.e., precision, recall, mAP0.5, mAP:0.5-0.95), however the reference object segmentation model achieved superior performance across all evaluation metrics.

<p>Results for evaluating the flower and reference object segmentation model with the test dataset. The flower segmentation model achieved moderate performance across all metrics (i.e., precision, recall, mAP0.5, mAP:0.5-0.95), however the reference object segmentation model achieved superior...

Full description

Saved in:

Bibliographic Details
Main Author:	Edward I. Amoah (22238275) (author)
Other Authors:	Khayri White (22238278) (author), Harland M. Patch (10035565) (author), Christina M. Grozinger (10035568) (author)
Published:	2025
Subjects:	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
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Similar Items