Eitelwein, Mateus Tonini; Tavares, Tiago Rodrigues 
; Molin, José Paulo ; Trevisan, Rodrigo Gonçalves; Sousa, Rafael Vieira de ; Demattê, José Alexandre Melo
Source: Automation. Unidades: ESALQ, FZEA, CENA
Subjects: AGRICULTURA DE PRECISÃO, ESPECTROSCOPIA INFRAVERMELHA, FERTILIDADE DO SOLO, MAPEAMENTO DO SOLO, MODELAGEM DE DADOS, SENSOR, SOLO TROPICAL
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EITELWEIN, Mateus Tonini et al. Predictive performance of mobile Vis–NIR spectroscopy for mapping key fertility attributes in tropical soils through local models using PLS and ANN. Automation, v. 3, p. 116-131, 2022Tradução . . Disponível em: https://doi.org/10.3390/automation3010006. Acesso em: 15 nov. 2024.APA
Eitelwein, M. T., Tavares, T. R., Molin, J. P., Trevisan, R. G., Sousa, R. V. de, & Demattê, J. A. M. (2022). Predictive performance of mobile Vis–NIR spectroscopy for mapping key fertility attributes in tropical soils through local models using PLS and ANN. Automation, 3, 116-131. doi:10.3390/automation3010006NLM
Eitelwein MT, Tavares TR, Molin JP, Trevisan RG, Sousa RV de, Demattê JAM. Predictive performance of mobile Vis–NIR spectroscopy for mapping key fertility attributes in tropical soils through local models using PLS and ANN [Internet]. Automation. 2022 ; 3 116-131.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/automation3010006Vancouver
Eitelwein MT, Tavares TR, Molin JP, Trevisan RG, Sousa RV de, Demattê JAM. Predictive performance of mobile Vis–NIR spectroscopy for mapping key fertility attributes in tropical soils through local models using PLS and ANN [Internet]. Automation. 2022 ; 3 116-131.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/automation3010006
