Advances in UAV-based deep learning for cassava disease monitoring and detection: A comprehensive review of models, imaging techniques, and agricultural applications
Domain:
agriculturegeospatialRecord type:
paper
Creator:
WasDayJimSey
Publisher:
Host:
Similar
A Systematic Review of Machine and Deep Learning Techniques for Cassava Disease Detection: Trends, Challenges, and Pathways to Real-World ImplementationMobile-based Deep Learning Models for Banana Disease DetectionHyperspectral Imaging-Based Deep Learning Framework for Early Maize Leaf Disease DetectionHORTIVISION-NG: Multispectral UAV Imaging and Deep Learning for Disease Detection and Yield Forecasting in Tomato, Pepper, Onion, and Watermelon in NigeriaFoundation Models Applied to Infectious Disease Imaging: A Scoping Review of Architectures, Applications, and GapsA Recent Survey of the Advancements in Deep Learning Techniques for Monkeypox Disease Detection