Research on the Detection Method of Organic Matter in Tea Garden Soil based on Image Information and Hyperspectral Data Fusion

Author:

张 浩文,Yang Chongshan,Lu Min,Liu Zhongyuan,Zhang Xiaojia,Dong Chunwang

Publisher

Elsevier BV

Reference23 articles.

1. A rapid ATR-FTIR spectroscopic method for detection of sibutramine adulteration in tea and coffee based on hierarchical cluster and principal component analyses;T An;Sensors and Actuators B: Chemical,2017

2. Combining computer vision score and conventional meat quality traits to estimate the intramuscular fat content using machine learning in pigs;D Chen;Meat Science,2022

3. Establishing an eyeball-weight relationship for Litopenaeus vannamei using machine vision technology;F Chen;Aquacultural Engineering,2019

4. Mechanism Underlying the Shading-Induced Chlorophyll Accumulation in Tea Leaves;J Chen;Frontiers in Plant Science,2021

5. Shelf life estimation and kinetic degradation modeling of chia seeds (Salvia hispanica) using principal component analysis based on NIR-hyperspectral imaging;J P Cruz-Tirado;Food Control,2021

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