publicações selecionadas
- 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
- 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
- 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
- Flooded rice variables from high-resolution multispectral images and machine learning algorithms