1. Benchmarking Deep Learning and Color Space Segmentation for Leaf Disease Severity Quantification in Blackberry Leaves

Quantification of foliar disease severity is fundamental in precision agriculture, as it reflects the biological impact of stress on the photosynthetically active area of the plant and supports data-driven management decisions. Traditional methods for severity assessment often depend on manual or semi-automated interventions, which are labor-intensive, subjective, and limit scalability. Deep learning offers a promising path toward automation, yet selecting the optimal architecture for the task... G. Silva, V. Nascimento, F. Arruda, I. Sánchez-gendriz, L. Almeida