Identification of Eggplant Young Seedlings Infected by Root Knot Nematodes Using Near Infrared Spectroscopy
In this paper, eggplant young seedlings infected by root knot nematodes were identified using near infrared spectroscopy. The main research on MSC and SG pretreatment method and PCA principal component extraction method with the combination of effects on model for classification. Results show: The best classification process is to do the first MSC after SG smoothing pretreatment, after using PCA extracted as the main component of the SIMCA input variables for classification, and achieved a classification average accuracy higher than 90%. It is an effective method to classify the degree of infection of the root knot nematodes by using the visible and near infrared spectral characteristics of the eggplant leaves.
KeywordsNear-infrared spectroscopy Soil disease Disease identification
This work was supported by the National Key Research and Development of China during the 13th Five-Year Plan Period(No. 2017YFD0201607-2) and our research center Innovation team project (JNKST201619). Sincere thanks to Dr. Liu Ting for helping me complete the complex work of inoculating the eggplant with nematodes.
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