Plant selection and breeding for net zero
Lead Research Organisation:
University of Lincoln
Department Name: Lincoln Inst for Agri-Food Technology
Abstract
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Organisations
| Description | The award has made significant progress developing multiple AI systems to inform plant breeding. This includes substantive work on the development of robotic phenotyping systems that can inform the breeding of Miscanthus, along with the collation of significant new data sets. In addition machine learning has been developed to understand key traits that relate to overall biomass accumulation by Miscanthus. This is a significant step forward for plant breeding as we have found new routes to discover early markers of biomass generation, critical for plant breeding. Finally we have developed the first AI system that uses computational argumentation for plant selection. This approach captures the behaviour of human plant breeders to support informed selection and decision making |
| Exploitation Route | All the key findings are informative to both plant breeders and the AI community. Novel trait selection using machine learning is a substantive progress step, as well as the first demonstration of the use of computational argumentation for plant selection. Substantive additional work is required before these technologies can be commercialised but they opt new routes for exploration by the science community |
| Sectors | Agriculture Food and Drink Digital/Communication/Information Technologies (including Software) |