Influence of soil sample preparation on the quantification of NPK content via spectroscopy

Autor(es)

Coutinho, Marcos A. N. ^[1] ; Alari, Fernando de O. ^[1] ; Ferreira, Marcia M. C. ^[2] ; do Amaral, Lucas R. ^[1]

Afiliação do(s) autor(es)

^[1] Univ Estadual Campinas, Sch Agr Engn, Av Candido Rondon 501, Cidade Univ, BR-13083875 Campinas, SP - Brazil

^[2] Univ Estadual Campinas, Inst Chem, R Josue de Castro 126, Cidade Univ, BR-13083861 Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Geoderma; v. 338, p. 401-409, MAR 15 2019.
• Citações Web of Science: 4

Resumo

Sampling density is a parameter that allows to identify the spatial variability of properties of interest in soils and is essential for precision agriculture practices, such as fertilizer application in variable rate. Soil sensors and spectroscopic techniques have been investigated and reported as promising tools, although showing some limitation in characterizing the chemical fertility of soils. One of the causes of the limitations is the way samples are prepared. Therefore, the aim of this work was to evaluate the effect of sieving and of drying temperature, on the determination of total nitrogen and phosphorus and potassium contents, by using Vis-NIR and Mid-Infrared spectroscopies. We found that Diffuse Reflectance Spectroscopy in the Visible and Near-Infrared region of the spectra shows better performance of the prediction models than of the Attenuated Total Reflectance Spectroscopy in the Mid-Infrared region. We did not identify significant influence of drying temperature neither of soil particle size on the predictive quality of the models generated via Vis-NIR spectroscopy; thus, the extra expenditure of time and cost for a more intense preparation of the soil samples would not be justifiable. In addition, we infer that the high prediction error may limit the applicability of spectroscopy for guiding the variable-rate application of fertilizers within the scope of precision agriculture. (AU)

• Processo FAPESP: 15/21616-5 - Sensoriamento proximal de cana-de-açúcar: variáveis agronômicas e espectroscopia de solos
• Beneficiário: Lucas Rios do Amaral
• Modalidade de apoio: Auxílio à Pesquisa - Programa BIOEN - Regular