Hyperspectral imaging technique to evaluate the firmness and the sweetness index of tomatoes
By: Anisur Rahman, Eunsoo Park, Bae Hyungjin, Byoung-Kwan Cho
Abstract
The objective of this study was to evaluate the firmness and the sweetness index (SI) of tomatoes with a hyperspectral imaging (HSI) technique within the wavelength range of 1000 – 1550 nm. The hyperspectral images of 95 tomatoes were acquired with a push-broom hyperspectral reflectance imaging system, from which the mean spectra of each tomato were extracted from the regions of interest.
Hyperspectral imaging technology for quality and safety evaluation of horticultural products
By: Yuzhen Lu, Wouter Saeys, Moon Kim, Yankun Peng, Renfu Lu
Abstract
In the past 20 years, hyperspectral imaging has been widely investigated as an emerging, promising technology for evaluating quality and safety of horticultural products. This technology has originated from remote sensing and joins the domains of machine vision and point spectroscopy to provide superior image segmentation for the detection of defects and contaminations, and to map the chemical composition.
Hyperspectral imaging through vacuum packaging for monitoring cheese biochemical transformation caused by Clostridium metabolism
By: Marlon M. Reis, Yash Dixit, Alistair Carr, Christine Tu, Faith Palevich, Tanushree Gupta, Mariza G. Reis
Abstract
Our results demonstrated the ability to use Hyperspectral Imaging combined with multivariate pattern recognition, to monitor the spatial and temporal biochemical processes associated with clostridial metabolism in cheese. Our maps of butyric acid concentration showed distinct patterns between control and Clostridium contaminated cheeses.
Hyperspectral Push-Broom Microscope Development and Characterization
By: Samuel Ortega, Raúl Guerr, María Díaz, Himar Fabelo, Sebastián López, Gustavo M. Callicó, Roberto Sarmiento
Abstract
Currently, the use of hyperspectral imaging (HSI) for the inspection of microscopic samples is an emerging trend in different fields. The use of push-broom hyperspectral (HS) cameras against other HSI technologies is motivated by their high spectral resolution and their capabilities to exploit spectral ranges beyond 1000 nm.
Hyperspectral Qualification of Aged Beef Sirloin
By: Ferenc Firtha, Anita Jasper, László Friedrich, József Felföldi
Abstract
Since the ageing process provides high added values that manifests in price, a quick, non-contact measurement method would be useful in industry to check ageing state. The objective of this study was to estimate the ageing time of beef sirloin samples by their reflected NIR spectra and hyperspectral datacube as well.`
Hyperspectral remote sensing for detecting geotechnical problems at Ray mine
By: Jingping He, Isabel Barton
Abstract
In this case study, we applied hyperspectral remote sensing for large-scale mapping and detection of minerals at a non-structure-related ground instability in the highwalls of the Ray mine near Tucson, Arizona. This combines drone- and tripod-mounted sensors, integrating hyperspectral with LiDAR and radar data, and using an iteratively refined spectral library based on site-specific sampling supported by ground truth.
Identification of Wheat Yellow Rust using Spectral and Texture Features of Hyperspectral Images
By: Anting Guo, Wenjiang Huang, Huichun Ye, Yingying Dong, Huiqin Ma, Yu Ren, Chao Ruan
Abstract
Wheat yellow rust is one of the most destructive diseases in wheat production and significantly affects wheat quality and yield. Accurate and non-destructive identification of yellow rust is critical to wheat production management. Hyperspectral imaging technology has proven to be effective in identifying plant diseases. We investigated the feasibility of identifying yellow rust on wheat leaves using spectral features and textural features (TFs) of hyperspectral images.
In-field and non-destructive monitoring of grapes maturity by hyperspectral imaging
By: Alessandro Benelli, Chiara Cevoli, Luigi Ragni, Angelo Fabbri
Abstract
Monitoring the quality attributes of grapes is a practice that allows the state of ripeness to be checked and the optimal harvest time to be identified. A non-destructive method based on hyperspectral imaging (HSI) technology was developed. Analyses were carried out directly in the field on a ‘Sangiovese’ (Vitis vinifera L.) vineyard destined for wine production, by using a Vis/NIR (400–1000 nm) hyperspectral camera.
In-field Vis/NIR hyperspectral imaging to measure soluble solids content of wine grape berries during ripening
By: Alessandro Benelli, Chiara Cevoli, Angelo Fabbri
Abstract
Monitoring the quality attributes of grapes is a practice that allows to check the grapes’ state of ripeness and to decide when it is appropriate to proceed with the harvest. In the present study, a non-destructive method based on hyperspectral imaging (HSI) technology was developed. Analyses were carried out directly in the field using a Vis/NIR (400-1000 nm) hyperspectral camera (HSC) between the rows of `Sangiovese’ (Vitis vinifera L.) vineyard destined for wine production.
Intuitive Image Analyzing on Plant Data High-Throughput Plant Analysis with LemnaTec Image Processing
By: Stefan Paulus, T. Dornbusch, Marcus Jansen
Abstract
For digital plant phenotyping huge amounts of 2D images are acquired. This is known as one part of the phenotyping bottleneck. This bottleneck can be addressed by well-educated plant analysts, huge experience and an adapted analysis software.
