Artificial Intelligence in the Assessment of Seed Physiological Quality: A Critical Review of Spectral, Imaging and Learning-based Approaches for Digital Seed Technology
Mônica Araújo de Souza Santos, Andréia Márcia Santos de Souza David, João Rafael Prudêncio dos Santos, Anne Karolina de Melo Souza, Rodrigo Silva Barbosa, Denner Junio Ramos Xavier & Samanta Saira Souza · International Journal of Plant & Soil Science · 2026
Seed physiological quality, expressed through viability, germination capacity and vigour, determines stand establishment, uniformity and yield potential, yet the reference tests that define it remain destructive, labour-intensive and slow. Over the past decade, artificial intelli...
Open access
Research Article
10.9734/ijpss/2026/v38i86253