Potential of in-field Vis/NIR hyperspectral imaging to monitor quality parameters of alfalfa
By: Chiara Cevol, Luca Di Cecilia, Luca Ferrari, Angelo Fabbri, Giovanni Molari
Abstract
The aim of this study was to evaluate the potentiality of the in-field Vis/NIR hyperspectral imaging combined with chemometric to predict moisture content of alfalfa after conditioning. Several combinations of conditioning level, time of day (morning and afternoon), and time after the conditioning (0, 15 and 120 min) were considered to carry out hyperspectral acquisitions.
Predicting intramuscular fat content of pork using hyperspectral imaging
By: L. Liu, M.O. Ngadi
Abstract
Intramuscular fat (IMF) content is an important quality trait of pork. It influences taste, juiciness and tenderness of the meat. The aim of this study was to develop an objective, rapid, and non-destructive method for predicting the IMF content of pork using hyperspectral imaging technology.
Predicting plants in the wild: Mapping arctic and boreal plants with UAS-based visible and near infrared reflectance spectra
By: Peter R. Nelson, Kenneth Bundy, Kevaughn Smith, Matt Macander, Catherine Chan
Biophysical changes in the Arctic and boreal zones drive shifts in vegetation, such as increasing shrub cover from warming soil or loss of living mat species due to fire. Understanding current and future responses to these factors requires mapping vegetation at a fine taxonomic resolution and landscape scale.
Predicting Water Stress in Wild Blueberry Fields Using Airborne Visible and Near Infrared Imaging Spectroscopy
By: Catherine Chan, Peter R. Nelson, Daniel J. Hayes, Yong-Jiang Zhang, Bruce Hall
Abstract
We assessed airborne spectral data accompanied by ground sampled water potential over three developmental stages of wild blueberries collected throughout the 2019 summer on two adjacent fields, one irrigated and one non-irrigated. Ground sampled leaves were collected in tandem to the hyperspectral image collection with an unoccupied aerial vehicle (UAV) and then measured for leaf water potential.
Quality Control of Slot-Die Coated Aluminum Oxide Layers for Battery Applications Using Hyperspectral Imaging
By: Florian Gruber, Philipp Wollmann, Benjamin Schumm, Wulf Grählert, Stefan Kaskel
Abstract
Hyperspectral inspection using imaging systems is becoming more and more important for quality control tasks in several industries, replacing well trained operators or established machine vision systems based on RGB-systems.
Quantifying Seasonal and Diurnal Cycles of Solar‐Induced Fluorescence With a Novel Hyperspectral Imager
By: Sophie Ruehr, Cynthia Gerlein‐Safdi, Nicola Falco, Paul O. Seibert, Chunwei Chou, Loren Albert, and Trevor F. Keenan
Solar‐induced fluorescence (SIF) is a proxy of ecosystem photosynthesis that often scales linearly with gross primary productivity (GPP) at the canopy scale. However, the mechanistic relationship between GPP and SIF is still uncertain, especially at smaller temporal and spatial scales. We deployed a ultra‐hyperspectral imager over two grassland sites in California throughout a soil moisture dry down. The imager has high spatial resolution that limits mixed pixels, enabling differentiation between plants and leaves within one scene. We find that imager SIF correlates well with diurnal changes in leaf‐level physiology and gross primary productivity under well‐watered conditions. These relationships deteriorate throughout the dry down event. Our results demonstrate an advancement in SIF imaging with new possibilities in remotely sensing plant canopies from the leaf to the ecosystem. These data can be used to resolve outstanding questions regarding SIF’s meaning and usefulness in terrestrial ecosystem monitoring.
Radio-frequency and optical techniques for evaluating anchovy freshness
By: Eleonora Iaccheri, Chiara Cevoli, Leonardo Franceschelli, Marco Tartagni, Luigi Ragni, Annachiara Berardinelli
Abstract
The freshness of anchovies (Engraulis Encrasicolus) was estimated by radio-frequency and optical techniques in order to propose non-destructive and objective methods for rapid screening. Measurements were conducted until 7 days at 0 °C, storing the fish under ice. Image analysis, dielectric spectroscopy and hyperspectral images were conducted on fish eyes whilst mechanical properties were measured on the fish body.
Ready for Takeoff: Drone-Based Sensing Takes Flight
By: Michael Eisenstein
Uncrewed aircraft can effectively bring sensor systems into challenging environments. Implementing these advanced systems can require a large investment and considerable planning. Nevertheless, hyperspectral sensing adds value in terms of its versatility.
Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety
By: Hui Huang, Li Liu, Michael O. Ngadi
Abstract
This paper provides a comprehensive review on the recent development of hyperspectral imaging applications in food and food products.
Reflectance Imaging Spectroscopy for Operation Night Watch Rembrandt’s Masterpiece
By: Francesca Gabrieli, John K. Delaney, Robert G. Erdmann, Victor Gonzalez, Annelies van Loon, Patrick Smulders, Roy Berkeveld, Robert van Langh, Katrien Keune
Abstract
The large size of the painting (3.78 m by 4.53 m) and the diversity of the technical investigations being performed make Operation Night Watch the largest research project ever undertaken at the Rijksmuseum. To construct a complete reflectance image cube at a high spatial resolution (168 µm2) and spectral resolution (2.54 to 6 nm), the painting was imaged with two high-sensitivity line scanning hyperspectral cameras (VNIR 400 to 1000 nm, 2.54 nm, and SWIR 900 to 2500 nm, 6 nm).
