Development of a Multiscale XGBoost-Based Model for Enhanced Detection of Potato Late Blight Using Sentinel-2, UAV, and Ground Data (2024)
Attributed to:
UK-China Agritech Challenge: CropDoc - Precision Crop Disease Management for Farm Productivity and Food Security
funded by
UKRI
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1109/tgrs.2024.3466648
Publication URI: http://dx.doi.org/10.1109/tgrs.2024.3466648
Type: Journal Article/Review
Parent Publication: IEEE Transactions on Geoscience and Remote Sensing