Spatial mapping of Brix and moisture content in sugarcane stalk using hyperspectral imaging

Abstract

Hyperspectral imaging is a powerful technique that can rapidly, accurately, and non-destructively determine the quality of agricultural products. In this study, a hyperspectral imaging system has been developed to evaluate and visualize the Brix values and moisture contents in sugarcane stalks to be used as a tool for breeding programmes. After extracting the spectral data via ENVI coding, data in the wavelength range of 450–950 nm were used to generate prediction models for Brix and moisture content via partial least squares regression. The coefficients of determination of the predictive models for Brix and moisture content were found to be 0.70 and 0.68, respectively. The root mean square errors of cross-validation were 1.28° for Brix and 1.49% for moisture content, and the performance to deviation ratios were 1.71 and 1.61, respectively. The models were applied to each pixel of the hypercube data in order to determine the distributions of Brix and moisture content within the sugarcane stalks. Both distribution mappings indicated that the Brix and the moisture content level were lower in the internode regions. The results demonstrated the feasibility of using hyperspectral imaging to visualize Brix and moisture content in sugarcane stalks. The developed method has potential applications in farming management and also in breeding programs.

Early Detection Cold Markers to Expedite the Sugarcane (Saccharum spp. Hybrids) Breeding

“…However, other sugars and dissolved organic solutes also contribute to the refractive index of juice samples. In addition, changes in the water contents by the freeze could influence Brix values . Post-freeze increases in Brix suggest the formation of secondary products including polyphenols .…”

“…In addition, changes in the water contents by the freeze could influence Brix values. 40 Post-freeze increases in Brix suggest the formation of secondary products including polyphenols. 41 Fluorescence EEM/PARAFAC characterization of juice was undertaken to explore additional tolerance markers.…”

Enhancement of healthful novel sugar contents in genetically engineered sugarcane juice integrated with molecularly characterized ThSyGII (CEMB-SIG2)

“…Polarimeter was administered to calculate pol% which was further exploited to find CCS commonly called as SRP. Extraction of cane juice and estimation of brixwas executed according to protocol 27 .…”

Non-destructive near infrared spectroscopy externally validated using large number sets for creation of robust calibration models enabling prediction of apple firmness

“…9 Instruments previously developed for engineering materials have already been applied for the agricultural products to measure the vibration of the chemical bonds, that is, characteristic, that can be correlated with firmness and ripeness, 4,9,11 soluble solid content, [12][13][14][15] titratable acidity, 1,16 dry matter, 17 as well as sugar and water content 8 or moisture. 18 Although flesh firmness being a physical parameter cannot be directly measured using NIR spectroscopy, it is possible to create calibration models correlating spectral responses due to the chemical components of the fruit such as pectins and carbohydrates with the texture properties including firmness. 14 These components and their contents change with time and so do the spectra.…”