This study proposes to monitor the spatial and temporal pattern of rice leaf blast on individual leaves with close-range imaging spectroscopy data.
This study proposes to monitor the spatial and temporal pattern of rice leaf blast on individual leaves with close-range imaging spectroscopy data.
Nov 23, 2018 · This study proposes to monitor the spatial and temporal pattern of rice leaf blast on individual leaves with close-range imaging spectroscopy ...
This study proposes to monitor the spatial and temporal pattern of rice leaf blast on individual leaves with close-range imaging spectroscopy data to ...
The true color image of a rice leaf with a visible leaf blast spot (A) and a column of pixels extracted from the center of leaf blast spot to the green part (B) ...
DETECTING RICE BLAST DISEASE USING MODEL INVERTED BIOCHEMICAL VARIABLES FROM CLOSE-RANGE REFLECTANCE IMAGERY OF FRESH LEAVES. Authors: Long Tian; Nanjing ...
Detecting Rice Blast Disease Using Model Inverted Biochemical Variables from Close-Range Reflectance Imagery of Fresh Leaves · Long TianZefu Wan +7 authors. T ...
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L. Tian et al. Detecting rice blast disease using model inverted biochemical variables from close-range reflectance imagery of fresh leaves.
Tian, Detecting rice blast disease using model inverted biochemical variables from close-range reflectance imagery of fresh leaves, с. 2749; Ulferts ...
May 6, 2022 · The traditional method of leaf blast detection mainly relies on agronomic experts to obtain rice disease information visually in the field based ...
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