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Data Analysis of Cold Rice Blast Based on Near Infrared Spectroscopy

Abstract : In order to overcome the low diagnostic accuracy of traditional blast visual defects, set cold rice blast for example, four data groups has been acquainted through near infrared spectroscopy, the first group is healthy and diseased planting stock; the second group is three diseased levels of leaf blast; the third group is five diseased levels of grain blast; the forth group is four diseased levels of panicle blast, according to the analysis, we can know that different circumstances of plants had their own near-infrared spectral bands which made the preliminary basis for real-time detection of cold Rice blast.
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Feng Tan, Xiaodan Ma, Chun Wang, Tingyi Shang. Data Analysis of Cold Rice Blast Based on Near Infrared Spectroscopy. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. pp.64-71, ⟨10.1007/978-3-642-27278-3_8⟩. ⟨hal-01360965⟩



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