All Outputs (14)

Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment (2024)
Journal Article

Fruit ripeness estimation models have for decades depended on spectral index features or colour-based features, such as mean, standard deviation, skewness, colour moments, and/or histograms for learning traits of fruit ripeness. Recently, few studies... Read More about Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment.

Quantitative potato tuber phenotyping by 3D imaging (2021)
Journal Article

The accurate phenotyping of the external quality attributes of potato tubers is important in potato breeding. Currently, the assessment of potato tuber shape, together with eye density and depth, are based on subjective naked eye visual evaluation. H... Read More about Quantitative potato tuber phenotyping by 3D imaging.

Defining strawberry shape uniformity using 3D imaging and genetic mapping (2020)
Journal Article

Strawberry shape uniformity is a complex trait, influenced by multiple genetic and environmental components. To complicate matters further, the phenotypic assessment of strawberry uniformity is confounded by the difficulty of quantifying geometric pa... Read More about Defining strawberry shape uniformity using 3D imaging and genetic mapping.

Genetic and phenotypic associations between root architecture, arbuscular mycorrhizal fungi colonisation and low phosphate tolerance in strawberry (Fragaria × ananassa) (2020)
Journal Article

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).

Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging (2020)
Journal Article

© 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.

Identifying Verticillium dahliae resistance in strawberry through disease screening of multiple populations and image based phenotyping (2019)
Journal Article

© 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

© 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

© 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.

A novel 3D imaging system for strawberry phenotyping (2017)
Journal Article

© 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 reflectance hyperspectral imaging: Part 1 (2016)
Journal Article

© 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.

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

© 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.

A comparison of visible wavelength reflectance hyperspectral imaging and Acid Black 1 for the detection and identification of blood stained fingerprints (2016)
Journal Article

© 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

© 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

© 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.