SorghumBase - Publications

2 Papers

Keywords

Computer vision (2)
arbuscular mycorrhizal fungi (1)
Mask R-CNN (1)
Mixed linear models (1)
Deblurring (1)
Machine learning (1)
Segmentation (1)
UAV (1)
Weed detection (1)

Computer vision models enable mixed linear modeling to predict arbuscular mycorrhizal fungal colonization using fungal morphology.

Zhang S, Wu Y, Skaro M, Cheong JH, Bouffier-Landrum A, Torrres I, Guo Y, Stupp L, Lincoln B, Prestel A, Felt C, Spann S, Mandal A, Johnson N, Arnold J

Published: 13 May 2024 in Scientific reports

Keywords:

arbuscular mycorrhizal fungi

Computer vision

Mask R-CNN

Mixed linear models

Pubmed ID: 38740920

DOI: 10.1038/s41598-024-61181-5

Details

Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model.

Genze N, Wirth M, Schreiner C, Ajekwe R, Grieb M, Grimm DG

Published: 23 August 2023 in Plant methods

Keywords:

Computer vision

Deblurring

Machine learning

Segmentation

UAV

Weed detection

Pubmed ID: 37608384

DOI: 10.1186/s13007-023-01060-8