Can we reduce food waste in the supply chain from farm to fork?
Lead Research Organisation:
Lancaster University
Department Name: Lancaster Environment Centre
Abstract
The aim of this project is to adopt a biospectroscopy-based approach to identify spectral biomarkers for the quality and shelf-life of crops. The student will:
-Investigate changes in the spectral fingerprint of tomato at key points in the supply chain, pre-harvest to post-supermarket 'use by date',
-Use support vector machine (SVM) chemometrics to automatously classify and predict the quality and shelf-life of tomato at key stages in the supply chain as a tool for the repurposing of crops,
-Compare the predictive capacity of the SVM classification model with that of standard biochemical analytical techniques for determining quality,
-Assess the robustness of the biospectroscopy-based classification approach derived from tomato in other crops susceptible to spoilage losses in the supply chain.
-Investigate changes in the spectral fingerprint of tomato at key points in the supply chain, pre-harvest to post-supermarket 'use by date',
-Use support vector machine (SVM) chemometrics to automatously classify and predict the quality and shelf-life of tomato at key stages in the supply chain as a tool for the repurposing of crops,
-Compare the predictive capacity of the SVM classification model with that of standard biochemical analytical techniques for determining quality,
-Assess the robustness of the biospectroscopy-based classification approach derived from tomato in other crops susceptible to spoilage losses in the supply chain.
People |
ORCID iD |
| Martin McAinsh (Primary Supervisor) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| BB/T508883/1 | 01/10/2019 | 04/04/2024 | |||
| 2276296 | Studentship | BB/T508883/1 | 01/10/2019 | 04/04/2024 |