Hyperspectral imaging: A review on UAV-based sensors, data processing and applications for agriculture and forestry
Traditional imagery—provided, for example, by RGB and/or NIR sensors—has proven to be
useful in many agroforestry applications. However, it lacks the spectral range and precision …
useful in many agroforestry applications. However, it lacks the spectral range and precision …
Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances
The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …
to support productivity increases while minimizing inputs and the adverse effects of climate …
Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress
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 …
promising technology for evaluating quality and safety of horticultural products. This …
Biomolecular and bioanalytical applications of infrared spectroscopy–A review
Infrared (IR; or mid-infrared, MIR; 4000-400 cm− 1; 2500–25,000 nm) spectroscopy has
become one of the most powerful and versatile tools at the disposal of modern bioscience …
become one of the most powerful and versatile tools at the disposal of modern bioscience …
Recent advances in wavelength selection techniques for hyperspectral image processing in the food industry
D Liu, DW Sun, XA Zeng - Food and Bioprocess Technology, 2014 - Springer
During the past decade, hyperspectral imaging (HSI) has been rapidly developing and
widely applied in the food industry by virtue of the use of chemometric techniques in which …
widely applied in the food industry by virtue of the use of chemometric techniques in which …
Rapid and non-destructive detection of chicken adulteration in minced beef using visible near-infrared hyperspectral imaging and machine learning
M Kamruzzaman, Y Makino, S Oshita - Journal of Food Engineering, 2016 - Elsevier
The main objective of this study was to evaluate the potential of visible near-infrared (VNIR)
hyperspectral imaging (400–1000 nm) and machine learning to detect adulteration in fresh …
hyperspectral imaging (400–1000 nm) and machine learning to detect adulteration in fresh …
Detection of adulteration with duck meat in minced lamb meat by using visible near-infrared hyperspectral imaging
X Zheng, Y Li, W Wei, Y Peng - Meat science, 2019 - Elsevier
This paper described a rapid and non-destructive method based on visible near-infrared
(Vis-NIR) hyperspectral imaging system (400–1000 nm) for detection adulteration with duck …
(Vis-NIR) hyperspectral imaging system (400–1000 nm) for detection adulteration with duck …
HSI-PP: A flexible open-source software for hyperspectral imaging-based plant phenotyping
Hyperspectral imaging has become one of the most popular techniques for high-throughput
plant phenotyping. Extracting and analyzing useful plant phenotypic traits from hyperspectral …
plant phenotyping. Extracting and analyzing useful plant phenotypic traits from hyperspectral …
Fast detection and visualization of minced lamb meat adulteration using NIR hyperspectral imaging and multivariate image analysis
Many studies have been carried out in developing non-destructive technologies for
predicting meat adulteration, but there is still no endeavor for non-destructive detection and …
predicting meat adulteration, but there is still no endeavor for non-destructive detection and …
Non-destructive evaluation techniques and what they tell us about wood property variation
To maximize utilization of our forest resources, detailed knowledge of wood property
variation and the impacts this has on end-product performance is required at multiple scales …
variation and the impacts this has on end-product performance is required at multiple scales …