Mônica Araújo de Souza Santos

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

Artificial Intelligence and Multispectral Imaging for Common Bean Seed Quality Analysis: A Critical Review of Evidence, Translation Pathways and Research Priorities

Anne Karolina de Melo Souza, Andréia Márcia Santos de Souza David, João Rafael Prudêncio dos Santos, Mônica Araújo de Souza Santos, Hemilly Kariny Cardoso Freitas, Lucas Vinícius de Souza Cangussú & Wander Guilherme da Silva Leles · Journal of Experimental Agriculture International · 2026

Seed quality testing in common bean must resolve several distinct questions: whether seed is genetically and physically authentic, whether it will germinate and establish reliably, whether it carries damaging defects or pathogens, and whether its composition supports intended foo...

Open access Research Article 10.9734/jeai/2026/v48i84422