Location: Crop Production and Protection
Project Number: 0500-00053-005-143-G
Project Type: Grant
Start Date: May 1, 2022
End Date: Apr 30, 2026
1) Implement an intelligent Deep Scanning (DS) system to capture images from an optimum close-up to improve the Fusarium Head Blight (FHB) detection rates. 2) Develop an algorithm/model using AI and DS data to enhance UAV reliability on FHB detection. 3) Evaluate and calibrate the developed algorithm/model and improve the aerial-based phenotyping efficiency.
The germplasm evaluation for Fusarium Head Blight (FHB) resistance in breeding programs is currently prone to human error and is time-consuming. Our overall goal for this project is to improve the FHB screening process's efficiency and accuracy, leading to a faster screening of breeding lines in the field and to improve the early detection in the lab, using innovative approaches combined with artificially intelligent (AI) technologies.