Crop/weed discrimination using near-infrared reflectance spectroscopy (NIRS)

Yun Zhang; Yong He

doi:10.1117/12.710957

27 October 2006 Crop/weed discrimination using near-infrared reflectance spectroscopy (NIRS)

Yun Zhang, Yong He

Proceedings Volume 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine; 60472G (2006) https://doi.org/10.1117/12.710957
Event: Fourth International Conference on Photonics and Imaging in Biology and Medicine, 2005, Tianjin, China

Abstract

The traditional uniform herbicide application often results in an over chemical residues on soil, crop plants and agriculture produce, which have imperiled the environment and food security. Near-infrared reflectance spectroscopy (NIRS) offers a promising means for weed detection and site-specific herbicide application. In laboratory, a total of 90 samples (30 for each species) of the detached leaves of two weeds, i.e., threeseeded mercury (Acalypha australis L.) and fourleafed duckweed (Marsilea quadrfolia L.), and one crop soybean (Glycine max) was investigated for NIRS on 325- 1075 nm using a field spectroradiometer. 20 absorbance samples of each species after pretreatment were exported and the lacked Y variables were assigned independent values for partial least squares (PLS) analysis. During the combined principle component analysis (PCA) on 400-1000 nm, the PC1 and PC2 could together explain over 91% of the total variance and detect the three plant species with 98.3% accuracy. The full-cross validation results of PLS, i.e., standard error of prediction (SEP) 0.247, correlation coefficient (r) 0.954 and root mean square error of prediction (RMSEP) 0.245, indicated an optimum model for weed identification. By predicting the remaining 10 samples of each species in the PLS model, the results with deviation presented a 100% crop/weed detection rate. Thus, it could be concluded that PLS was an available alternative of for qualitative weed discrimination on NTRS.

Citation Download Citation

Yun Zhang and Yong He "Crop/weed discrimination using near-infrared reflectance spectroscopy (NIRS)", Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 60472G (27 October 2006); https://doi.org/10.1117/12.710957

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