Drone-based polarization imaging for phenotyping peanut in response to leaf spot disease

Joshua C. Larsen; Robert Austin; Jeffrey Dunne; Michael W. Kudenov

doi:10.1117/12.2623073

3 June 2022 Drone-based polarization imaging for phenotyping peanut in response to leaf spot disease

Joshua C. Larsen, Robert Austin, Jeffrey Dunne, Michael W. Kudenov

Proceedings Volume 12112, Polarization: Measurement, Analysis, and Remote Sensing XV; 121120G (2022) https://doi.org/10.1117/12.2623073
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

Polarization imaging has been used extensively in applications related to atmospheric monitoring, remote sensing, and quality control. However, it has been used less extensively in agricultural applications, where color sensing - either red, green, and blue (RGB) imaging, multispectral, and/or hyperspectral cameras are more common. In this paper, we discuss our preliminary results related to the use of polarization imaging to quantify defoliation in peanut plants in response to leaf spot disease. A key metric for breeding resistant peanut varieties involves identifying the point at which defoliation occurs. Since defoliation is a geometrical property of the plant canopy, we investigated whether polarization imaging can provide a better-automated score when compared to conventional visual scoring. Initial results are presented, as well as a discussion of our drone-based platform and our experimental trials conducted during the 2021 North Carolina growing season.

Conference Presentation

Citation Download Citation

Joshua C. Larsen, Robert Austin, Jeffrey Dunne, and Michael W. Kudenov "Drone-based polarization imaging for phenotyping peanut in response to leaf spot disease", Proc. SPIE 12112, Polarization: Measurement, Analysis, and Remote Sensing XV, 121120G (3 June 2022); https://doi.org/10.1117/12.2623073

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