Coffee is a product whose value is stipulated according to its quality, which in turn depends on the stage of maturity of its fruits—the more mature its fruits, the higher the coffee value. The objective of this work was to analyze the level of soluble solids in coffee samples, determine the spectral signature of the fruits and their chromatic information, and correlate this information with the global quality of the beverage. Coffee cherry samples were collected from four plantations in the municipality of Araponga, Minas Gerais, Brazil. They were submitted to spectral and colorimetric analyses and used to determine the Brix degree. The samples were submitted to a quality test to determine the global coffee quality. The results were submitted to Pearson’s analysis of correlation followed by spatial variability mapping of each variable in each plantation. A linear regression analysis was also conducted to generate models capable of explaining the relationship between variables. Global coffee quality has significant correlation only with R band and fruit reflectance values. It is possible to use information from these variables to predict coffee quality while still in the plantation field.
Precision Agriculture – Springer Journals
Published: Feb 23, 2014
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
All the latest content is available, no embargo periods.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud