{"title":"Multivariate Analysis of Spectroscopic Data for Agriculture Applications","authors":"Asmaa M. Hussein, Amr Wassal, Ahmed Farouk Al-Sadek, A. F. Abd El-Rahman","volume":166,"journal":"International Journal of Agricultural and Biosystems Engineering","pagesStart":134,"pagesEnd":140,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10011491","abstract":"
In this study, a multivariate analysis of potato spectroscopic data was presented to detect the presence of brown rot disease or not. Near-Infrared (NIR) spectroscopy (1,350-2,500 nm) combined with multivariate analysis was used as a rapid, non-destructive technique for the detection of brown rot disease in potatoes. Spectral measurements were performed in 565 samples, which were chosen randomly at the infection place in the potato slice. In this study, 254 infected and 311 uninfected (brown rot-free) samples were analyzed using different advanced statistical analysis techniques. The discrimination performance of different multivariate analysis techniques, including classification, pre-processing, and dimension reduction, were compared. Applying a random forest algorithm classifier with different pre-processing techniques to raw spectra had the best performance as the total classification accuracy of 98.7% was achieved in discriminating infected potatoes from control.<\/p>\r\n","references":"[1]\tMillam S (2007). Potato (Solanum tuberosum L.). Methods in Molecular Biology 344, 25\u201335.\r\n[2]\tPotatopro, 2019. https:\/\/www.potatopro.com\/world\/potato-statistics\r\n[3]\tMessiha NAS, van Bruggen AHC, van Diepeningen AD, de Vos OJ, Termorshuizen AJ, Tjou-Tam-Sin NNA, Janse JD (2007). Potato brown rot incidence and severity under different management and amendment regimes in different soil types. Eur J Plant Pathol 119:367\u2013381\r\n[4]\tKabeil SS, Lashin SM, El-Masry MH, El-Saadani MA, Abd Elgawad, MM and Aboul-Einean AM (2008). Potato brown rot disease in Egypt: current status and prospects. 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