New approach for predicting nitrogen and pigments in maize from hyperspectral data and machine learning models
Bianca Cavalcante da Silva, Renato de Mello Prado, Fábio Henrique Rojo Baio, Cid Naudi Silva Campos, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo Teodoro, Dthenifer Cordeiro Santana, Thiago Feliph Silva Fernandes, Carlos Antônio da Silva, Elisângela de Souza Loureiro
Topics & Concepts
Hyperspectral imagingRandom forestMathematicsArtificial intelligenceMean squared errorNitrogenDecision treeCorrelation coefficientRed edgeMachine learningRemote sensingBiological systemComputer scienceChemistryStatisticsGeographyBiologyOrganic chemistryRemote Sensing in AgricultureSpectroscopy and Chemometric AnalysesLeaf Properties and Growth Measurement