Evaluation of Multispectral Sensors for Assessing Pigment Index in Soybean
Harman Singh Sangha1*, Ajay Sharda1, William Schapaugh2 and Dylan Walta2
1Carl and Melinda Helwig Department of Biological and Agricultural Engineering, Kansas State University, USA
2Department of Agronomy, Kansas State University, USA
*Corresponding Author: Harman Singh Sangha, Carl and Melinda Helwig
Department of Biological and Agricultural Engineering, Kansas State University, USA.
February 01, 2022; Published: March 11, 2022
The collection of image-based data for vegetative crops is advancing with the introduction of vigorous and lightweight camera sensors. Among these camera sensors, multispectral sensors are prevalent with researchers due to the wide range of functions that can be performed. Multispectral sensors are carefully chosen according to their capacity to recognize specific wavelengths, and specifications such as focal length, sensor size, and radiometric resolution is often overlooked. Therefore, a study was performed to evaluate two forms of multispectral sensors for assessing pigment index by examining correlation between sensor output and ground parameters. A narrowband and broadband sensor was used to collect spectral data on a soybean field using a quadcopter. Spectral data was evaluated based on ground resolution, orthomosaic quality, along with statistical comparison with agronomical data (wilting scores and maturity). The broadband sensor had a better ability to capture comprehensive spatial data than the narrowband sensor. The broadband sensor was highly correlated with soybean maturity (r = 0.83, p ≤ 0.001). Wilting scores collected were of wide resolution as compared to spectral data. Narrow resolution ground data can verify that pigment index can be used as crop parameters. The Narrowband sensor was limited in estimating pigment index due to smaller sensor size and restricted spectral bands.
Keywords: Multispectral Sensors; Orthomosaic; Pigment-Index; Precision Agriculture
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