Skip to main content

Research Repository

See what's under the surface

Advanced Search

Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging (2020)
Journal Article
Li, B., Xu, X., Zhang, L., Han, J., Bian, C., Li, G., …Jin, L. (2020). Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging. ISPRS Journal of Photogrammetry and Remote Sensing, 162, 161-172. https://doi.org/10.1016/j.isprsjprs.2020.02.013

© 2020 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Rapid and accurate biomass and yield estimation facilitates efficient plant phenotyping and site-specific crop management. A low altitude unmanned aerial vehicle (UAV) w... Read More about Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging.

Genetic and phenotypic associations between root architecture, arbuscular mycorrhizal fungi colonisation and low phosphate tolerance in strawberry (Fragaria× ananassa) (2020)
Journal Article
Li, B. (in press). Genetic and phenotypic associations between root architecture, arbuscular mycorrhizal fungi colonisation and low phosphate tolerance in strawberry (Fragaria× ananassa). BMC Plant Biology,

Background Phosphate is an essential plant macronutrient required to achieve maximum crop yield. Roots are able to uptake soil phosphate from the immediate root area, thus creating a nutrient depletion zone. Many plants are able to exploit phosphate... Read More about Genetic and phenotypic associations between root architecture, arbuscular mycorrhizal fungi colonisation and low phosphate tolerance in strawberry (Fragaria× ananassa).

Identifying Verticillium dahliae resistance in strawberry through disease screening of multiple populations and image based phenotyping (2019)
Journal Article
Cockerton, H. M., Li, B., Vickerstaff, R. J., Eyre, C. A., Sargent, D. J., Armitage, A. D., …Harrison, R. J. (2019). Identifying Verticillium dahliae resistance in strawberry through disease screening of multiple populations and image based phenotyping. Frontiers in Plant Science, 10, https://doi.org/10.3389/fpls.2019.00924

© 2019 Cockerton, Li, Vickerstaff, Eyre, Sargent, Armitage, Marina-Montes, Garcia-Cruz, Passey, Simpson and Harrison. Verticillium dahliae is a highly detrimental pathogen of soil cultivated strawberry (Fragaria x ananassa). Breeding of Verticillium... Read More about Identifying Verticillium dahliae resistance in strawberry through disease screening of multiple populations and image based phenotyping.

The estimation of crop emergence in potatoes by UAV RGB imagery (2019)
Journal Article
Li, B., Xu, X., Han, J., Zhang, L., Bian, C., Jin, L., & Liu, J. (2019). The estimation of crop emergence in potatoes by UAV RGB imagery. Plant Methods, 15(1), https://doi.org/10.1186/s13007-019-0399-7

© 2019 The Author(s). Background: Crop emergence and canopy cover are important physiological traits for potato (Solanum tuberosum L.) cultivar evaluation and nutrients management. They play important roles in variety screening, field management and... Read More about The estimation of crop emergence in potatoes by UAV RGB imagery.

Application of hyperspectral imaging for nondestructive measurement of plum quality attributes (2018)
Journal Article
Li, B., Cobo-Medina, M., Lecourt, J., Harrison, N. B., Harrison, R. J., & Cross, J. V. (2018). Application of hyperspectral imaging for nondestructive measurement of plum quality attributes. Postharvest Biology and Technology, 141, 8-15. https://doi.org/10.1016/j.postharvbio.2018.03.008

© 2018 Elsevier B.V. Colour, firmness and soluble solid content (SSC) are three important quality attributes of fruit that affect consumer acceptance. However, measurement of these attributes largely relies on destructive manual assessment, which is... Read More about Application of hyperspectral imaging for nondestructive measurement of plum quality attributes.

Advances in non-destructive early assessment of fruit ripeness towards defining optimal time of harvest and yield prediction—a review (2018)
Journal Article
Li, B., Lecourt, J., & Bishop, G. (2018). Advances in non-destructive early assessment of fruit ripeness towards defining optimal time of harvest and yield prediction—a review. Plants, 7(1), https://doi.org/10.3390/plants7010003

© 2018 by the authors. Licensee MDPI, Basel, Switzerland. Global food security for the increasing world population not only requires increased sustainable production of food but a significant reduction in pre-and post-harvest waste. The timing of whe... Read More about Advances in non-destructive early assessment of fruit ripeness towards defining optimal time of harvest and yield prediction—a review.

A novel 3D imaging system for strawberry phenotyping (2017)
Journal Article
He, J. Q., Harrison, R. J., & Li, B. (2017). A novel 3D imaging system for strawberry phenotyping. Plant Methods, 13(1), https://doi.org/10.1186/s13007-017-0243-x

© 2017 The Author(s). Background: Accurate and quantitative phenotypic data in plant breeding programmes is vital in breeding to assess the performance of genotypes and to make selections. Traditional strawberry phenotyping relies on the human eye to... Read More about A novel 3D imaging system for strawberry phenotyping.

The non-contact detection and identification of blood stained fingerprints using visible wavelength hyperspectral imaging: Part II effectiveness on a range of substrates (2016)
Journal Article
Cadd, S., Li, B., Beveridge, P., O'Hare, W. T., Campbell, A., & Islam, M. (2016). The non-contact detection and identification of blood stained fingerprints using visible wavelength hyperspectral imaging: Part II effectiveness on a range of substrates. Science and Justice, 56(3), 191-200. https://doi.org/10.1016/j.scijus.2016.01.005

© 2016 The Chartered Society of Forensic Sciences. Biological samples, such as blood, are regularly encountered at violent crime scenes and successful identification is critical for criminal investigations. Blood is one of the most commonly encounter... Read More about The non-contact detection and identification of blood stained fingerprints using visible wavelength hyperspectral imaging: Part II effectiveness on a range of substrates.

The non-contact detection and identification of blood stained fingerprints using visible wavelength reflectance hyperspectral imaging: Part 1 (2016)
Journal Article
Cadd, S., Li, B., Beveridge, P., O'Hare, W. T., Campbell, A., & Islam, M. (2016). The non-contact detection and identification of blood stained fingerprints using visible wavelength reflectance hyperspectral imaging: Part 1. Science and Justice, 56(3), 181-190. https://doi.org/10.1016/j.scijus.2016.01.004

© 2016 The Chartered Society of Forensic Sciences. Blood is one of the most commonly encountered types of biological evidence found at scenes of violent crime and one of the most commonly observed fingerprint contaminants. Current visualisation metho... Read More about The non-contact detection and identification of blood stained fingerprints using visible wavelength reflectance hyperspectral imaging: Part 1.

A comparison of visible wavelength reflectance hyperspectral imaging and Acid Black 1 for the detection and identification of blood stained fingerprints (2016)
Journal Article
Cadd, S., Li, B., Beveridge, P., O′Hare, W. T., Campbell, A., & Islam, M. (2016). A comparison of visible wavelength reflectance hyperspectral imaging and Acid Black 1 for the detection and identification of blood stained fingerprints. Science and Justice, 56(4), 247-255. https://doi.org/10.1016/j.scijus.2015.12.007

© 2016 The Chartered Society of Forensic Sciences. Bloodstains are often encountered at scenes of violent crime and have significant forensic value for criminal investigations. Blood is one of the most commonly encountered types of biological evidenc... Read More about A comparison of visible wavelength reflectance hyperspectral imaging and Acid Black 1 for the detection and identification of blood stained fingerprints.

Rapid, automated detection of stem canker symptoms in woody perennials using artificial neural network analysis (2015)
Journal Article
Li, B., Hulin, M. T., Brain, P., Mansfield, J. W., Jackson, R. W., & Harrison, R. J. (2015). Rapid, automated detection of stem canker symptoms in woody perennials using artificial neural network analysis. Plant Methods, 11(1), https://doi.org/10.1186/s13007-015-0100-8

© 2015 Li et al. Background: Pseudomonas syringae can cause stem necrosis and canker in a wide range of woody species including cherry, plum, peach, horse chestnut and ash. The detection and quantification of lesion progression over time in woody tis... Read More about Rapid, automated detection of stem canker symptoms in woody perennials using artificial neural network analysis.

The application of visible wavelength reflectance hyperspectral imaging for the detection and identification of blood stains (2014)
Journal Article
Li, B., Beveridge, P., O'Hare, W. T., & Islam, M. (2014). The application of visible wavelength reflectance hyperspectral imaging for the detection and identification of blood stains. Science and Justice, 54(6), 432-438. https://doi.org/10.1016/j.scijus.2014.05.003

© 2014 Forensic Science Society. Current methods of detection and identification of blood stains rely largely on visual examination followed by presumptive tests such as Kastle-Meyer, Leuco-malachite green or luminol. Although these tests are useful,... Read More about The application of visible wavelength reflectance hyperspectral imaging for the detection and identification of blood stains.


;