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Light Reflectance and Remote Sensing of Weeds in Agronomic and Horticultural Crops

Published online by Cambridge University Press:  12 June 2017

R. M. Menges ,
P. R. Nixon  and
A. J. Richardson
R. M. Menges
Affiliation:
Agric. Res., Sci. Ed. Admin., U.S. Dep. Agric., Weslaco, TX 78596
P. R. Nixon
Affiliation:
Agric. Res., Sci. Ed. Admin., U.S. Dep. Agric., Weslaco, TX 78596
A. J. Richardson
Affiliation:
Agric. Res., Sci. Ed. Admin., U.S. Dep. Agric., Weslaco, TX 78596
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Abstract

Plant canopy reflectance over the 0.45- to 1.25-μm wavelength (WL) of weed species and crops was recorded with a field spectroradiometer to evaluate the possible use of remote sensing to distinguish weeds from crops. Weed and weed-crop species reflectance differences were generally greater at the 0.85 μm WL in the near-infrared spectral region than at the 0.55 μm WL in the visible region, indicating that color infrared (CIR) aerial photography may be useful to detect weed populations in crops. Canopy reflectance data were more directly related to photographic differences in weed-crop images than were single leaf or inflorescence reflectance data. Aerial photography at altitudes of 610 to 3050 m distinguished climbing milkweed (Sarcostemma cyancboides ♯ SAZCY) in orange [Citrus sinensis (L.) Osbeck. ‘Valencia’) trees; ragweed parthenium (Parthenium hysterophorus L. ♯ PTNHY) in carrot (Daucus carota L., var. sativa ‘Long Imperator’); johnsongrass [Sorghum halepense (L.) Pers. ♯ SORHA) in cotton (Gossypium hirsutum L. ‘CP 3774’) and in sorghum (Sorghum bicolor L. Moench. ‘Oro’); London rocket (Sisymbrium irio L. ♯ SSYIR) in cabbage; and Palmer amaranth (Amaranthus palmeri S. Wats. ♯ AMAPA) in cotton. Johnsongrass was also detectable with CIR film in maturing grain sorghum from 18 290 m. Detection of weed species in crops was aided by differential stages of inflorescence and senescence, and by the chlorophyll content, color, area, intercellular space, and surface characteristics of the leaves. Discrete plant community areas were determined by computer-based image analyses from a 1:8000-scale positive transparency with the efficiency of 82, 81, 68, and 100% for Palmer amaranth, johnsongrass, sorghum, and cotton, respectively. The computer analyses should permit discrete aerial surveys of weed-crop communities that are necessary for integrated crop management systems.

Keywords

Leaf reflectanceleaf characteristicsphotomicrographySAZCYPTNHYSORHASSYIRAMAPA
Type
Special Topics
Information
Weed Science , Volume 33 , Issue 4 , July 1985 , pp. 569 - 581
Copyright
Copyright © 1985 by the Weed Science Society of America 

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