The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.

The project involves the development and use of novel digital and hyperspectral imaging technologies to be used as QC tools throughout the fresh produce supply chain (from breeders to retailers). Such tools will be demonstrated in both controlled environments and in the field to allow for the characterisation and prediction of yields, nutrient content and quality characteristics such as colour, flavour and texture across the supply chain. Biochemical traits will also be correlated with sensory evaluation attributes to derive cause and effect relationships that affect consumer choice and hence commercial value. Moreover, technology developments will be complemented with genomic data to assist future developments in the field of plant breeding and the effect of environmental factors on product quality. This applied industrial research project will use different varieties of tomato plants (Solanum lycopersicon) as the subject of the investigations with the potential to build applications for other commercially important genera/species.