scholarly journals Applications of Machine Learning and Image Processing Techniques in the Detection of Leukemia

2020 ◽  
Vol 8 (2) ◽  
pp. 77-82
Author(s):  
Siddhika Arunachalam ◽  
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Image Processing Techniques ◽  
Applications Of Machine Learning ◽  
Processing Techniques

The Classification of Skateboarding Trick Manoeuvres Through the Integration of Image Processing Techniques and Machine Learning

2020 ◽  
pp. 347-356
Author(s):  
Muhammad Nur Aiman Shapiee ◽  
Muhammad Ar Rahim Ibrahim ◽  
Mohd Azraai Mohd Razman ◽  
Muhammad Amirul Abdullah ◽  
Rabiu Muazu Musa ◽  
...  
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Image Processing Techniques ◽  
Processing Techniques

scholarly journals Machine Learning and Fuzzy Logic based Detection, Classification and Grading of Leaf Disease in Plants

2020 ◽  
Vol 9 (7S) ◽  
pp. 38-42
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Image Processing ◽  
Fuzzy Logic ◽  
Learning Algorithm ◽  
Expert Advice ◽  
Support Vector ◽  
Machine Learning Algorithm ◽  
Image Processing Techniques ◽  
Processing Techniques

India is an agricultural country where most of people are depends on the agriculture. When Plants are infected by the virus, fungus and bacteria, they are mostly seen on leaves and stems of the plants. Because of that, plants production is decreased also economy of the country is decreased. The farmer has to identify the disease and decide which pesticide will be used to control the disease in plants. To finding out which disease affect the plants, the farmer contacts the expert for the solution. The expert gives the advice based on its knowledge and information but sometimes seeking the expert advice is time consuming, expensive and may be not accurate. So, to solve this problem, the image processing techniques and Machine Learning algorithm like Neural Network, Fuzzy Logic and Support Vector Machine gives the better, accurate and affordable solution to control the plants disease than manual method.

scholarly journals Comparative analysis of image processing techniques for obstacle avoidance and path deduction

2021 ◽  
Vol 2070 (1) ◽  
pp. 012121
Author(s):  
R Rajavarshini ◽  
S Shruthi ◽  
P Mahanth ◽  
Boddu Chaitanya Kumar ◽  
A Suyampulingam
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Obstacle Avoidance ◽  
Transportation System ◽  
Image Processing Algorithm ◽  
Image Processing Techniques ◽  
Haar Cascade ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
Processing Techniques

Abstract The growing need for automation has a significant impact on our daily lives. Automating the essentials of our society like transportation system has plenty of applications like unmanned ground vehicles in military, wheel chair for disabled, domestic robots, etc., There are driving, braking, obstacle tackling etc., to a transportation system that can be automated. This paper particularly focuses on automating the obstacle avoidance which provides intelligence to the vehicle and ensures a high degree of safety and is performed using image processing algorithms. Edge based detection, image segmentation, and Machine Learning based method are the three image processing techniques used to detect and avoid obstacles. Haar cascade classifier is the machine learning method where Haar cascade analysis is performed for better accurate results with justifying graphs and parametric values obtained. A comparison of the three image processing algorithms is also tabulated considering obstacle size, colour, familiarities and environmental lightings and the best image processing algorithm is inferred.

Optimizing parameters for image processing techniques using machine learning to detect powdery mildew in strawberry leaves

2019 ◽  
Author(s):  
Jaemyung Shin ◽  
Young Ki Chang ◽  
Tri Nguyen Quang ◽  
Brandon Heung ◽  
Prabahar Ravichandran
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Powdery Mildew ◽  
Image Processing Techniques ◽  
Processing Techniques
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