Quantifying leaf symptoms of sorghum charcoal rot in images of field‐grown plants using deep neural networks

Charcoal rot of sorghum (CRS) is a significant disease affecting sorghum crops, with limited genetic resistance available. The causative agent, Macrophomina phaseolina (Tassi) Goid, is a highly destructive fungal pathogen that targets over 500 plant species globally, including essential staple crops...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Plant phenome journal 2024-12, Vol.7 (1), p.n/a
Hauptverfasser:	Gonzalez, Emmanuel M., Zarei, Ariyan, Calleja, Sebastian, Christenson, Clay, Rozzi, Bruno, Demieville, Jeffrey, Hu, Jiahuai, Eveland, Andrea L., Dilkes, Brian, Barnard, Kobus, Lyons, Eric, Pauli, Duke
Format:	Artikel
Sprache:	eng
Schlagworte:	Abiotic stress Agricultural production Agriculture Algorithms Artificial intelligence Automation Charcoal rot Classification Corn Crop diseases Crops Cultivars Disease resistance Drought Germplasm Image processing Infections Leaves Machine learning Neural networks Pathogens Performance evaluation Phenotyping Plant breeding Plant diseases Segmentation Sorghum
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!