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Keyword [nondestructive]
Result: 1 - 20 | Page: 1 of 10
1.
Nondestructive Quality Inspection Of Rice Seeds With Machine Vision
2.
Theory And Technology Of Detecting Inner-Defects In Wood With A Probing Drill Device
3.
Nondestructive Testing And Steam Explosion Pre-Treatments For Sub-alpine Fir Wet-pocket Lumber
4.
Study For Crucial Technique In On-line Non-destructive Determination Of Fruit Internal Quality By VIS/NIR Spectroscopy
5.
Nondestructive Evaluation Of Watermelon Internal Quality By Visible And Near-infrared Spectroscopy
6.
Study On The South Grape Expert System Using Artificial Neural Network And Machine Vision
7.
Methodology For Rapid And Nondestructive Detection Of Fruit Quality Based On Image Processing And Spectral Analysis Technologies
8.
Study On Wood Defects Testing Based On BP And RBF Neural Networks
9.
Nondestructive Detection Of Fruit Internal Quality Based On Visible And Near Infrared Spectroscopy
10.
Nondestructive Detection Of Transgenic Tomato Based On Visible And Near Infrared Spectroscopy
11.
Development And Application Of Optimal Model For Nondestructive Evaluation Of Fruits Sugar Content Using Visible/Near Infrared Spectroscopy
12.
Static And On-line Detection Of Soluble Solid Content And PH Of Pears By Visible/Near Infrared Spectroscopy
13.
Fast And Nondestructive Detection Of Brassica Napus Growth Information Using Spectral And Multi-Spectral Imaging Technology
14.
Physiological Properties Of Moldy Core Apple Fruits Flesh And Nondestructive Detection Using Near Infrared Spectroscopy
15.
The Study Of NIR Nondestructive Detection And Analysis Technology On Internal Qualities Of Fruits
16.
The Research Of Nondestructive Detection Of Brown Core In Chinese Pear 'Yali' Based On Its Light Physical Properties
17.
Study On Optical-Nondestructive Detection Of Watercore And Breakdown Apples
18.
The Study Of Nondestructive Detection With NIR Spectroscopy In Single Rice Qualities
19.
Research On Nondestructive Inspection Method Of Apple's Inner Quality Based On Dielectric Property And Gray System Theory
20.
Study On Wood Defects Testing Based On Artificial Neural Network
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