Data/hora: 05/06/2024 05:33:32

Biblioteca(s): | Embrapa Solos.
Tipo da produção científica: | Artigo em Periódico Indexado
Circulação/Nível: | A - 1
Data corrente: | 15/08/2019
Data da última atualização: | 08/11/2019
Autoria: | SANTANA, F. B. de; SOUZA, A. M. de; POPPI, R. J.
Afiliação: | FELIPE B. DE SANTANA, UNICAMP; ANDRE MARCELO DE SOUZA, CNPS; RONEI J. POPPI, UNICAMP.
Título: | Green methodology for soil organic matter analysis using a national near infrared spectral library in tandem with learning machine.
Ano de publicação: | 2019
Fonte/Imprenta: | Science of the Total Environment, v. 658, p. 895-900, Mar. 2019.
DOI: | 10.1016/j.scitotenv.2018.12.27
Idioma: | Inglês
Conteúdo: | Precision agriculture requires faster and automatic responses for fertility parameters, especially regarding soil organic matter (SOM). In Brazil, the standard methodology for SOMdetermination is awet procedure based on the oxidation of the sample by an excess of potassium dichromate based on Walkley-Black method. This methodology has serious drawbacks, since, at a national level, generates approximately 600,000 L/year of toxic acid waste containing Cr3+ and possibly Cr6+, besides time consuming and expensive. Herein, we present a faster green methodology that can eliminate the generation of these hazardous wastes and reduces the costs of analysis by approximately 80%, democratizing the soil fertility information and increasing the productivity. The methodology is based on the use of a national near infrared spectral library with approximately 43,000 samples and learning machine data analysis based on a randomforest algorithm. The methodology was validated by submitting the prediction results of 12 blind soil samples to a proficiency assay used for fertility soil laboratories qualification, receiving the maximum quality excellence index, indicating that it is suitable for use in routine analysis.
Thesagro: | Agricultura de Precisão; Espectrômetro; Floresta; Matéria Orgânica; Raio Infravermelho; Solo.
Thesaurus Nal: | Near-infrared spectroscopy; Soil.
Categoria do assunto: | P Recursos Naturais, Ciências Ambientais e da Terra
Registro original: | Embrapa Solos (CNPS)
Exemplares: | CNPS - (20197-1) - UPC - AP - DD -  -  - 2019.00114 - DIS