Analyzing crop health in vineyards through a multispectral imaging and drone system

2020 Systems and Information Engineering Design Symposium (SIEDS) Pub Date : 2020-04-01 DOI:10.1109/SIEDS49339.2020.9106671

Isaac J. Miller, B. Schieber, Zachary De Bey, Ernest Benner, Jacob D. Ortiz, Justyn Girdner, Parth N. Patel, Dominic G. Coradazzi, J. Henriques, Jason Forsyth

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引用次数: 1

Abstract

This paper describes a system for collecting and analyzing multispectral imagery to evaluate crop health and streamline vineyard management in small to medium-sized vineyards. The system consists of three main components: a sensor assembly with a multispectral camera, quadcopter with flight automation, and a web-based decision support information system for analyzing multispectral imagery. Multispectral imagery can provide a holistic view of crop health through the use of different indices. A widely used index is the Normalized Difference Vegetative Index, which uses red and near-infrared reflectance as a proxy measurement for plant health. The authors tested the system at a small vineyard located in Albemarle County, Virginia, to better inform vineyard management of existing problems and trends in primary crop and undergrowth. Preliminary findings indicate the value of using this indicator-based approach for analyzing crop health in vineyards.

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通过多光谱成像和无人机系统分析葡萄园的作物健康状况

本文介绍了一个用于收集和分析多光谱图像以评估作物健康和简化中小型葡萄园管理的系统。该系统由三个主要部分组成:带有多光谱相机的传感器组件，带有飞行自动化的四轴飞行器，以及用于分析多光谱图像的基于网络的决策支持信息系统。通过使用不同的指数，多光谱图像可以提供作物健康状况的整体视图。一个广泛使用的指数是归一化差异营养指数，它使用红色和近红外反射率作为植物健康的代理测量。作者在弗吉尼亚州Albemarle县的一个小葡萄园测试了该系统，以便更好地告知葡萄园管理人员初级作物和林下植物存在的问题和趋势。初步的研究结果表明，使用这种基于指标的方法来分析葡萄园的作物健康状况是有价值的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2020 Systems and Information Engineering Design Symposium (SIEDS)

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