publicações selecionadas Flooded rice variables from high-resolution multispectral images and machine learning algorithms Influence of flight hours on spectral behavior of rice (Oryza Sativa L.) and soybean (Glycine Max L.) cultivars in images obtained by remotely piloted aircraft system Remotely Piloted Aircraft Systems (RPAS) and machine learning: A review in the context of forest science Remotely piloted aircraft systems and forests: a global state of the art and future challenges Estimated flooded rice grain yield and nitrogen content in leaves based on RPAS images and machine learning Estimation of soybean yield from machine learning techniques and multispectral RPAS imagery
