Applications of hyperspectral imaging in plant phenoty**

R Sarić, VD Nguyen, T Burge, O Berkowitz… - Trends in plant …, 2022 - cell.com
Our ability to interrogate and manipulate the genome far exceeds our capacity to measure
the effects of genetic changes on plant traits. Much effort has been made recently by the …

[HTML][HTML] High-throughput phenoty**: Breaking through the bottleneck in future crop breeding

P Song, J Wang, X Guo, W Yang, C Zhao - The Crop Journal, 2021 - Elsevier
With the rapid development of genetic analysis techniques and crop population size,
phenoty** has become the bottleneck restricting crop breeding. Breaking through this …

Proximal hyperspectral sensing of abiotic stresses in plants

A Sanaeifar, C Yang, M de la Guardia, W Zhang… - Science of The Total …, 2023 - Elsevier
Recent attempts, advances and challenges, as well as future perspectives regarding the
application of proximal hyperspectral sensing (where sensors are placed within 10 m above …

Hyperspectral imagery applications for precision agriculture-a systemic survey

PK Sethy, C Pandey, YK Sahu, SK Behera - Multimedia Tools and …, 2022 - Springer
Hyperspectral imaging has been extensively investigated as an emerging, promising
technique for measuring the quality and protection of horticultural and agricultural products …

Deep learning models based on hyperspectral data and time-series phenotypes for predicting quality attributes in lettuces under water stress

S Yu, J Fan, X Lu, W Wen, S Shao, D Liang… - … and Electronics in …, 2023 - Elsevier
Efficiently analyzing the relationship between plant phenotypes, quality, and resistance
remains challenging. In this study, deep learning models based on hyperspectral data and …

Compact and ultracompact spectral imagers: technology and applications in biomedical imaging

MH Tran, B Fei - Journal of biomedical optics, 2023 - spiedigitallibrary.org
Significance Spectral imaging, which includes hyperspectral and multispectral imaging, can
provide images in numerous wavelength bands within and beyond the visible light …

A leaf-level spectral library to support high-throughput plant phenoty**: predictive accuracy and model transfer

NK Wijewardane, H Zhang, J Yang… - Journal of …, 2023 - academic.oup.com
Leaf-level hyperspectral reflectance has become an effective tool for high-throughput
phenoty** of plant leaf traits due to its rapid, low-cost, multi-sensing, and non-destructive …

Predictive spectral analysis using an end-to-end deep model from hyperspectral images for high-throughput plant phenoty**

TU Rehman, D Ma, L Wang, L Zhang, J ** - Computers and Electronics in …, 2020 - Elsevier
The spectral reflectance signature of the plants contains rich information about their
biophysical, physiological and chemical characteristics. Learning the patterns directly from …

Automated in-field leaf-level hyperspectral imaging of corn plants using a Cartesian robotic platform

Z Chen, J Wang, T Wang, Z Song, Y Li, Y Huang… - … and Electronics in …, 2021 - Elsevier
Hyperspectral Imaging (HSI) has been widely adopted in field plant phenoty** activities.
Current HSI solutions such as airborne remote sensing platforms and handheld …

Low-cost hyperspectral imaging with a smartphone

MB Stuart, AJS McGonigle, M Davies, MJ Hobbs… - Journal of …, 2021 - mdpi.com
Recent advances in smartphone technologies have opened the door to the development of
accessible, highly portable sensing tools capable of accurate and reliable data collection in …