Novel CropdocNet Model for Automated Potato Late Blight Disease Detection from Unmanned Aerial Vehicle-Based Hyperspectral Imagery (2022)
Attributed to:
UK-China Agritech Challenge: CropDoc - Precision Crop Disease Management for Farm Productivity and Food Security
funded by
Newton Fund
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.3390/rs14020396
Publication URI: http://dx.doi.org/10.3390/rs14020396
Type: Journal Article/Review
Parent Publication: Remote Sensing
Issue: 2