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Details

Autor(en) / Beteiligte
Titel
Estimating technological parameters and stem productivity of sugarcane treated with rock powder using a proximal spectroradiometer Vis-NIR-SWIR
Ist Teil von
  • Industrial crops and products, 2022-10, Vol.186, p.115278, Article 115278
Ort / Verlag
Elsevier B.V
Erscheinungsjahr
2022
Quelle
Access via ScienceDirect (Elsevier)
Beschreibungen/Notizen
  • This study aimed to evaluate the use of proximal Vis-NIR-SWIR spectroscopy to estimate technological parameters and tons of sugarcane per hectare (TSH) with the application of rock powder to the soil. It was carried out in an Arenosol area in Paranavaí , Brazil. The treatments were arranged within a split-plot system, designed in randomized blocks with four repetitions. For the experimental plots, inputs supplying calcium, magnesium, and sulfur were applied, whereas inputs supplying potassium were used for the subplots. The first and second cycles (sugarcane) were completed at 14 and 26 months, respectively, after the inputs application. During both growth cycles, technological parameters of the crop and of the TSH were determined. In addition, the stem spectrum of the crop was collected with a Vis-NIR-SWIR proximal spectroradiometer for later prediction of the parameters and TSH through the Partial Least Square Regression technique. It was possible to adjust models in the prediction phase with R2p > 0.50 and RPDp > 1.50 for all evaluated attributes, with emphasis on three variables, namely purity, reducing sugars, and brix, which had R2p and RPDp values above 0.86 and 2.75, respectively. The results show that proximal Vis-NIR-SWIR spectroscopy can be used to predict technological parameters and TSH of sugarcane with the application of rock powder. It offers advantages in relation to usual methods, since it is less time-consuming and low-cost, moreover it does not involve the use of toxic reagents. [Display omitted] •The application of rock powders enabled a wide diversity of spectral curves.•Technological parameters and sugarcane yield can be quantified by Vis-NIR-SWIR spectroscopy.•The SWIR region was important for the construction of the PLSR model.•Vis-NIR-SWIR spectroscopy is presented as an alternative to the analyses of sugarcane.
Sprache
Englisch
Identifikatoren
ISSN: 0926-6690
eISSN: 1872-633X
DOI: 10.1016/j.indcrop.2022.115278
Titel-ID: cdi_crossref_primary_10_1016_j_indcrop_2022_115278

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