3.8 Proceedings Paper

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

出版社

SPIE-INT SOC OPTICAL ENGINEERING
DOI: 10.1117/12.2623073

关键词

polarization; drone; leaf spot; phenotyping; peanut; polarization imaging

资金

  1. US Department of Agriculture NIFA AFRI [007052]

向作者/读者索取更多资源

This paper discusses the preliminary results of using polarization imaging to quantify defoliation in peanut plants in response to leaf spot disease, and the advantages of polarization imaging compared to conventional visual scoring. The paper also introduces the details of the experimental trials.
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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据