K-mean and HSV model based segmentation of unhealthy plant leaves and classification using machine learning approach

2021 ◽  
Author(s):  
V. K. Trivedi ◽  
P. K. Shukla ◽  
P. K. Dutta
Keyword(s):  
Machine Learning ◽  
Learning Approach ◽  
Plant Leaves ◽  
Model Based ◽  
Machine Learning Approach

scholarly journals Machine Learning Approach for Graphical Model-Based Analysis of Energy-Aware Growth Control in Plant Factories

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 32183-32196 ◽  
Author(s):  
Yu Fujimoto ◽  
Saya Murakami ◽  
Nanae Kaneko ◽  
Hideki Fuchikami ◽  
Toshirou Hattori ◽  
...  
Keyword(s):  
Machine Learning ◽  
Graphical Model ◽  
Growth Control ◽  
Learning Approach ◽  
Energy Aware ◽  
Model Based ◽  
Machine Learning Approach ◽  
Model Based Analysis

scholarly journals Object and Lane Detection Technique for Autonomous Car Using Machine Learning Approach

2021 ◽  
Vol 22 (4) ◽  
pp. 383-391
Author(s):  
Raja Muthalagu ◽  
Anudeep Sekhar Bolimera ◽  
Dhruv Duseja ◽  
Shaun Fernandes
Keyword(s):  
Machine Learning ◽  
Detection Algorithm ◽  
Lane Detection ◽  
Detection Technique ◽  
Learning Approach ◽  
Model Based ◽  
Machine Learning Approach ◽  
Driving Model ◽  
End To End ◽  
Self Driving Cars

Abstract The main objective of this work is to develop a perception algorithm for self-driving cars which is based on pure vision data or camera data. The work is divided into two major parts. In part one of the work, we develop a powerful and robust lane detection algorithm which can determine the safely drive-able region in front of the car. In part two we develop and end to end driving model based on CNNs to learn from the drivers driving data and can drive the car with only the camera data from on-board cameras. Performance of the proposed system is observed by the implementation of the autonomous car that can be able to detect and classify the stop signs and other vehicles.

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