Early detection and spectral signature identification of tomato fungal diseases ( and ) by RGB and hyperspectral image analysis and machine learning.

Early identification of plant fungal diseases is critical for timely treatment, which can prevent significant agricultural losses. While molecular analysis offers high accuracy, it is often expensive and time-consuming. In contrast, image processing combined with machine learning provides a rapid and cost-effective alternative for disease diagnosis.