English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The real time prediction of the quality of the coffee biomass parameters allow greater efficiency in the energy industry and its production process, allowing the determination of multiple chemical components, while avoiding the extensive sample preparation. Multivariate calibration models using spectra obtained by near infrared spectroscopy (NIR) have been developed to predict the following properties of coffee: moisture, ash, fixed carbon and volatile content. Satisfactory results were obtained demonstrating the importance of methodology from the economic point of view, but also environmental, since residues from the coffee industry (husks) were evaluated and demonstrated use of potential.

PREDIÇÃO POR CALIBRAÇÃO MULTIVARIADA DOS PARÂMETROS DE QUALIDADE DE BIOMASSAS DE CAFÉ