Title

Using Spectral Reflectance and Remote Sensing to Compare Soybeans (Glycine max) and Green Foxtail (Setaria viridis)

Document Type

Conference Proceeding

Publication Date

2000

Abstract

Remote sensing may provide the information required to identify weed management zones. The objective of this study was to determine if leaf reflectance data could be used to distinguish green foxtail from soybeans. Greenhouse experiments were conducted to determine the percent reflectance from green foxtail (Setaria viridis) and soybeans in the 350-1000 nm wavelength range in 10 nm increments (hyperspectral data). Spectral reflectance patterns in the 350 to 600 nm range were similar from bare soil and green foxtail three weeks after planting. Soybean had slightly higher reflectance from 500-550 nm. Spectral reflectance in the 700-1000 nm range differed between soybean (28% reflectance) and green foxtail (15% reflectance). Six weeks after planting, reflectance was approximately 25% from both plants in the 400-600 nm range, much greater than reflectance from bare soil but similar between species. Green foxtail at 700 to 1000 nm range had greater reflectance (40%) than soybeans (20%). These results indicate that in an NIR image green foxtail would appear redder than soybeans.

Publication Title

Proceedings of the 5th International Conference on Precision Agriculture, Bloomington, Minnesota, USA, 16-19 July, 2000

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