The current proposal aims to develop a new system for assessment of lamb carcasses that will objectively and more accurately quantify carcass classification and composition. Furthermore, the project aims to develop an alternative pricing model that more closely reflects the retail value of lamb. This system will be based on Imaging technology and will facilitate a more targeted approach to lamb production and has the potential to drive new breeding strategies to deliver carcasses that more accurately meet retailer specification and consumer demand.
The goals of the project are: (i) to develop animal-mounted sensor systems that capture beef cattle feeding behaviour patterns and integrate this information with a feeding systems that accurately estimates feed intake at the individual animal level and (ii) to develop techniques for monitoring, in a commercial environment, the performance efficiency of individual animals. The aim is to integrate both input (feed) and output (growth/yield) measurements at the individual animal level, allowing beef farmers to make appropriate management decisions to improve the overall efficiency of beef production. The decision support platform will inform the livestock producer of the correct and balanced amounts of nutrients to be administered to individual beef animals in order to maximise production and profitability.
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.