Hyperspectral remote sensing approach for rapid detection of potato virus Y

Siddat Nesar; Bradley Whitaker; Nina Zidack; Paul Nugent

doi:10.1117/12.3008344

12 March 2024 Hyperspectral remote sensing approach for rapid detection of potato virus Y

Siddat Nesar, Bradley Whitaker, Nina Zidack, Paul Nugent

Proceedings Volume 12879, Photonic Technologies in Plant and Agricultural Science; 128790C (2024) https://doi.org/10.1117/12.3008344
Event: SPIE LASE, 2024, San Francisco, California, United States

Abstract

This project aims to develop a hyperspectral remote sensing approach to detect potato virus Y (pathogenic virus of the family Potyviridae, PVY), from an Unpiloted Aerial Vehicle (UAV). The hyperspectral camera is mounted on the UAV to capture the reflectance of the pixels of the leaves and identify the subtle changes in the color as an indicator of the PVY. The PVY-infected plants tend to have visible mosaic patterns on the leaves, leading to a potential signal for optical detection. Managing the PVY is one of the priorities for the Montana Seed Potato Growers, necessitating the development of a rapid-detection system for PVY. We aim to evaluate if we can detect PVY from a UAV with a radiometrically calibrated hyperspectral sensor to measure upwelling radiance and a calibrated spectrometer to measure downwelling irradiance. We aimed to start with publicly available data from Wageningen University, Netherlands, to build a baseline for our model under controlled lighting. However, we encountered difficulty working with this data, and hope to revisit this portion of the effort in the future.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Siddat Nesar, Bradley Whitaker, Nina Zidack, and Paul Nugent "Hyperspectral remote sensing approach for rapid detection of potato virus Y", Proc. SPIE 12879, Photonic Technologies in Plant and Agricultural Science, 128790C (12 March 2024); https://doi.org/10.1117/12.3008344

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