crossrefAgriEngineering2026-02-10Cited by 1
Forecasting Spring Wheat Maturity from UAV-Based Multispectral Imagery Using Machine and Deep Learning Models
Prabahar Ravichandran, Keshav D. Singh, Harpinder S. Randhawa, Shubham Subrot Panigrahi
Accurate forecasting of crop maturity supports efficient harvest planning and accelerates selection decisions in breeding programs. In spring wheat, maturity is typically assessed through manual scoring late in the season, which limits its usefulness for timely harvest management…