1. Leaf Nutrient Estimation in Soybean from Multispectral and Multitemporal Information Using UAV and Machine Learning

Precision agriculture, through remote sensing with Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence, offers solutions for monitoring crop growth and development, supporting decision-making aimed at resource optimization and agricultural sustainability. This study evaluated the feasibility of using multispectral information captured by UAVs at different phenological stages (V6, V8, and R2) to estimate leaf nutrients (N, P, K, Ca, Mg, Cu, Zn, and Mn) in soybean crops as an alternative... E. Cely Bonilla, C.L. Bazzi, R. Sobjak, K. Schenatto, E. Torres Avila, M. Rodrigues, S. Spricigo