Development of a Weather-based Predictive Modeling and Infield Monitoring for Botrytis Forecasting in Strawberry

The research team is composed of NC State University (NCSU) faculty and students.

This proposal develops an expandable infrastructure for the field testing and deployment of plant protection products. The project is focused on management of botrytis in strawberries in the United States, but with potential global application. The project includes identification of microclimate and phenological indicators for forecasting, deployment of improved forecasting models, and product testing in strawberry fields with integration of models, infield monitoring, and product application. Initial product testing is planned in North Carolina, Florida, and California, with a research team composed of NC State faculty and students.

Sponsor

Principle Investigators

Roger Magarey
Michael Kudenov
Tika B Adhikari

More Details

This proposal develops an expandable infrastructure for the field testing and deployment of plant protection products. The project is focused on the management of botrytis in strawberries in the United States but with potential global application. The project includes: i) the identification of microclimate and phenological indicators for botrytis forecasting; ii) affordable, infield sensor arrays; iii) Deployment of improved Botrytis forecasting models’; and iv) Product testing in strawberry fields including integration of models, infield monitoring and product application. Initial product testing is planned in North Carolina, Florida and California.