A Survey on Ayurvedic Medicine Classification using Tensor flow

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2017 by IJCTT Journal
Volume-53 Number-2
Year of Publication : 2017
Authors : Vishal Batvia, Drashti Patel, Dr. Avani R. Vasant
  10.14445/22312803/IJCTT-V53P114

MLA

Vishal Batvia, Drashti Patel, Dr. Avani R. Vasant "A Survey on Ayurvedic Medicine Classification using Tensor flow". International Journal of Computer Trends and Technology (IJCTT) V53(2):68-70, November 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Ayurveda is an ancient medical science which works hand in hand with the medicinal plants. There is a huge problem that most of the people cannot recognize these medicinal plants and thus are not able to take the benefit of herbal power to cure diseases. Experts are needed to recognize these ayurvedic medicines and sometimes they are also in dilemma about the species of plant. In recent times the use of technology has increased so much that almost everyone uses a smartphone. There are various advancements in technology and one of the biggest is Deep Learning and Machine Learning which helps Machines to do the tasks which humans do but with much ease. There are several Machine Learning applications available which recognizes humans, objects, trees, animals etc. But the need for a recognizer is increasing in the field of Ayurveda as the experts are very less and the use is increasing day by day. Thus we have thought to propose a system which recognize ayurvedic plants just by a single image of its leaf. This will have a huge impact on laymen in day to day use, in the field of education and also among researchers. Also it will unite everyone to take this field of Ayurveda further ahead.

References
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Keywords
Ayurveda, Medicinal Plants, Convolutional neural networks, Mobile Application, Recognizer.