Automated detection of defects and grading of cashew kernels using machine learning

2021 ◽  
pp. 439-465
Author(s):  
S.V. Veenadevi ◽  
C. Srinivasan Padmavathi
Keyword(s):  
Machine Learning ◽  
Automated Detection ◽  
Detection Of Defects

Machine Learning in Agriculture

2018 ◽  
Vol 8 (6) ◽  
pp. 26 ◽  
Author(s):  
Matthew N. O. Sadiku ◽  
Chandra M. M Kotteti ◽  
Sarhan M. Musa
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Disease Diagnosis ◽  
Automated Detection ◽  
Disease Prediction ◽  
Paper Briefly ◽  
Agriculture Sector ◽  
Modern Agriculture ◽  
Crop Disease

Machine learning is an emerging field of artificial intelligence which can be applied to the agriculture sector. It refers to the automated detection of meaningful patterns in a given data.  Modern agriculture seeks ways to conserve water, use nutrients and energy more efficiently, and adapt to climate change.  Machine learning in agriculture allows for more accurate disease diagnosis and crop disease prediction. This paper briefly introduces what machine learning can do in the agriculture sector.

Multisensor Image Fusion for Automated Detection of Defects in Printed Circuit Boards

2021 ◽  
pp. 1-1
Author(s):  
Mengke Li ◽  
Naifu Yao ◽  
Sha Liu ◽  
Shouqing Li ◽  
Yongqiang Zhao ◽  
...  
Keyword(s):  
Image Fusion ◽  
Printed Circuit Boards ◽  
Automated Detection ◽  
Circuit Boards ◽  
Printed Circuit ◽  
Detection Of Defects

scholarly journals Image Analysis Using Machine Learning for Automated Detection of Hemoglobin H Inclusions in Blood Smears - A Method for Morphologic Detection of Rare Cells

2021 ◽  
Vol 12 (1) ◽  
pp. 18
Author(s):  
ShirYing Lee ◽  
CrystalM E Chen ◽  
ElaineY P Lim ◽  
Liang Shen ◽  
Aneesh Sathe ◽  
...  
Keyword(s):  
Machine Learning ◽  
Image Analysis ◽  
Automated Detection ◽  
Blood Smears ◽  
Rare Cells

Automated detection of electroencephalography artifacts in human, rodent and canine subjects using machine learning

2018 ◽  
Vol 307 ◽  
pp. 53-59 ◽  
Author(s):  
Joshua Levitt ◽  
Adam Nitenson ◽  
Suguru Koyama ◽  
Lonne Heijmans ◽  
James Curry ◽  
...  
Keyword(s):  
Machine Learning ◽  
Automated Detection

scholarly journals Automated detection and sorting of microencapsulation via machine learning

Lab on a Chip ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 1808-1817 ◽  
Author(s):  
Albert Chu ◽  
Du Nguyen ◽  
Sachin S. Talathi ◽  
Aaron C. Wilson ◽  
Congwang Ye ◽  
...  
Keyword(s):  
Machine Learning ◽  
Production System ◽  
Automated Detection ◽  
Capsule Production ◽  
System P

We automated a traditionally labor-intensive, yet widely-used capsule production system.

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