A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices.
Ana Paula Marques RamosLucas Prado OscoDanielle Elis Garcia FuruyaWesley Nunes GonçalvesDthenifer Cordeiro SantanaLarissa Pereira Ribeiro TeodoroCarlos Antonio da Silva JuniorGuilherme Fernando Capristo-SilvaJonathan LiFábio Henrique Rojo BaioJosé Marcato JuniorPaulo Eduardo TeodoroHemerson PistoriPublished in: Comput. Electron. Agric. (2020)
Keyphrases
- random forest
- feature importance
- random forests
- decision trees
- feature set
- feature ranking
- decision tree learning algorithms
- remote sensing
- ensemble methods
- fold cross validation
- multi label
- neural network
- hyperspectral
- ensemble learning
- data sets
- logistic regression
- image classification
- knn
- support vector
- data mining