Hyperspectral imaging technology combined with deep forest model to identify frost-damaged rice seeds
Author:
Funder
National Key Research and Development Program
Publisher
Elsevier BV
Subject
Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference41 articles.
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3. Near-infrared hyperspectral imaging system coupled with multivariate methods to predict viability and vigor in muskmelon seeds;Kandpal;Sensors Actuators B Chem.,2016
4. Variety identification of single rice seed using hyperspectral imaging combined with convolutional neural network;Qiu;Appl. Sci.,2018
5. Recent applications of multispectral imaging in seed phenotyping and quality monitoring-An overview;ElMasry;Sensors-Basel,2019
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