Abstract
For the reasonable and effective collection of Ophiocordyceps sinensis, a new method of on-site identification was attempted using a portable multispectral imaging (MSI) technique. Three dimensional (3D) data-cubes of representative Ophiocordyceps sinensis and weeds samples were acquired and pre-processed with standard normal variate transformation (SNV). Principal component analysis (PCA) and simulated annealing particle swarm optimisation (SAPSO) algorithms were used to extract characteristic images and develop the support vector classification (SVC) models. Results show that the fused feature model of SAPSO-SVC has the best performance, resulting in a recognition accuracy of the prediction set of 96.30%. Moreover, on-site distribution map of Ophiocordyceps sinensis and weeds was created using the spectral feature model of SAPSO-SVC, and the target could be easily identified from the distribution map. This work demonstrates the potential for on-site identification of Ophiocordyceps sinensis in the Qinghai–Tibet Plateau using a portable MSI technique combined with the SAPSO-SVC algorithm. Keywords: Ophiocordyceps sinensis, MSI, SAPSO-SVC, On-site distribution map DOI: 10.25165/j.ijabe.20201306.5425 Citation: Duan H W, Tong X, Cui R X, Han L J, Huang G Q. On-site identification of Ophiocordyceps sinensis using multispectral imaging and chemometrics. Int J Agric & Biol Eng, 2020; 13(6): 166–170.
Highlights
As a valuable wildlife resource with the dual-purpose of medicine and nutrition, Ophiocordyceps sinensis has strict requirements for its parasitism and growth environment, leading to its short supply in the high-end market
This work demonstrates the potential for on-site identification of Ophiocordyceps sinensis in the Qinghai–Tibet Plateau using a portable multispectral imaging (MSI) technique combined with the swarm optimisation (SAPSO)-support vector classification (SVC) algorithm
The results showed that the characteristic images extracted by Principal component analysis (PCA) and SAPSO both contained the main feature information of Ophiocordyceps sinensis
Summary
As a valuable wildlife resource with the dual-purpose of medicine and nutrition, Ophiocordyceps sinensis has strict requirements for its parasitism and growth environment, leading to its short supply in the high-end market. Because of its small size, dark colour and wide distribution, the traditional manual search method has the disadvantages of high labour intensity and low efficiency in the process of collecting Ophiocordyceps sinensis. Developing a rapid and on-site identification technology is of major importance for the ecologically friendly and efficient excavation of Ophiocordyceps sinensis resources and to ensure sustainable use. As a fusion of imaging and spectroscopy[8,9,10,11,12], multispectral imaging (MSI) integrates both techniques in one configuration and can provide both spatial and spectral information for each pixel over the required wavelength range, thereby facilitating the fast and accurate identification of Ophiocordyceps sinensis
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