American Journal of Plant Sciences

Volume 9, Issue 13 (December 2018)

ISSN Print: 2158-2742   ISSN Online: 2158-2750

Google-based Impact Factor: 1.57  Citations  

Comparing Canopy Hyperspectral Reflectance Properties of Palmer amaranth to Okra and Super-Okra Leaf Cotton

HTML  XML Download Download as PDF (Size: 1486KB)  PP. 2708-2718  
DOI: 10.4236/ajps.2018.913197    748 Downloads   1,410 Views  Citations

ABSTRACT

Palmer amaranth (Amaranthus palmeri S. Wats.) is a major weed problem of cotton (Gossypium hirsutum L.) production systems in the southern United States. Hyperspectral remote sensing has shown promise as a tool for crop weed discrimination, and there is a growing interest in using this technology for identifying weeds in cotton production systems. Information is lacking on differentiating Palmer amaranth from cotton with an okra leaf structure based on canopy hyperspectral reflectance properties. Two greenhouse studies were conducted to compare canopy hyperspectral reflectance profiles of Palmer amaranth to canopy hyperspectral reflectance profiles of okra and super-okra leaf cotton and to identify optimal regions of the electromagnetic spectrum for their discrimination. Ground-based hyperspectral measurements of the plant canopies were obtained with a spectroradiometer (400 - 2350 nm range). Analysis of variance (ANOVA, p ≤ 0.05), Dunnett’s test (p 0.05), and difference and sensitivity measurements were tabulated to determine the optimal wavebands for Palmer amaranth and cotton discrimination. Results were inconsistent for Palmer amaranth and okra leaf cotton separation. Optimal wavebands for distinguishing Palmer amaranth from super-okra leaf cotton were observed in the shortwave infrared region (2000 nm and 2180 nm) of the optical spectrum. Ground-based and airborne sensors can be tuned into the shortwave infrared bands identified in this study, facilitating application of remote sensing technology for Palmer amaranth discrimination from super-okra leaf cotton and implementation of the technology as a decision support tool in cotton weed management programs.

Share and Cite:

Fletcher, R. and Turley, R. (2018) Comparing Canopy Hyperspectral Reflectance Properties of Palmer amaranth to Okra and Super-Okra Leaf Cotton. American Journal of Plant Sciences, 9, 2708-2718. doi: 10.4236/ajps.2018.913197.

Cited by

[1] Use of HSI coupled with Machine Learning for the Detection of Water Stress in Plant Seedlings
2024
[2] Spectral Correction and Dimensionality Reduction of Hyperspectral Images for Plant Water Stress Assessment.
Pertanika Journal of …, 2023
[3] Discrimination between and geolocation of cotton and palmer amaranth using spectral and geometric data (Conference Presentation)
2020
[4] Discrimination between and geolocation of cotton and palmer amaranth using spectral and geometric data
2020
[5] Assessing Hyperspectral Vegetation Indices Responses of Six Pigweed Species
2020
[6] Classification and Geolocation of Cotton and Palmer Amaranth Using Spectral and Geometric Data
2020
[7] Canopy Hyperspectral Reflectance of Redroot Pigweed versus Okra and Super Okra Leaf Cotton
2019
[8] Canopy hyperspectral reflectance of redroot pigweed versus okra and super okra leaf cotton.
2019
[9] PERTANIKA JOURNAL OF SOCIAL SCIENCES AND HUMANITIES

Copyright © 2025 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.