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ARS Home » Crop Production and Protection » Research » Research Project #441101

Research Project: Improving Phenotyping Accuracy Using Artificially Intelligent Technologies and Innovative Method

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.