AIIC AI Intelligence Centre

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Potato crop effective management strategies to tackle future pest threats

CORDIS · observation · Publication date unknown

provide effective preharvest plant and soil treatments against CLso vector and soil-borne pathogens combined with other cutting-edge digital technologies such as image analysis tools (mobile app) and artificial intelligence predictive models; 3) develop postharvest technologies (biocontrol coating solution, controlled atmosphere storage and volatile organic compounds (VOCs) sensors) to control the incidence of soil pathogens and maintain the quality of potato tubers stored. These strategies and technologies will be incorporated into an Integrated Pest Management approach to evaluate their performance at final TRL5. Solanum tuberosum; Plant & soil health; Sustainable fungicides; postharvest pathogen diseases; zebra chip; Candidatus Liberibacter solanacearum; resistant genes; emerging pests; crop improvement

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recordType
award
status
SIGNED
region
EU
value
6097603.75
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.