Miguel Quemada

About

Miguel Quemada is a Full Professor at Universidad Politécnica de Madrid in Spain. His research areas focus on the application of machine learning and high-resolution satellite imagery to agricultural productivity, particularly in relation to nitrogen management in crops. Recent publications include studies on barley yield prediction, winter wheat nitrogen nutrition, and the sustainability of agricultural systems through nitrogen use efficiency. He is actively exploring the integration of advanced modeling approaches to assess crop traits and responses to fertilization.