Review
Open access
Aug 2026
Multimodal Deep Learning and Foundation Models for Early Detection and Forecasting of Plant Diseases
A decade of progress across four interconnected frontiers is synthesizes the evolution of deep learning architectures for plant disease detection, the adaptation of foundation models including CLIP, SAM, and DINOv2 to agricultural contexts, and the development of multimodal fusion frameworks integrating imagery, environmental, genomic, and hyperspectral data are synthesized.
Teja Manda, Tian-Yu Huang, Yifan Ding et al.
· Plants · 1 citation