scholarly journals Parallel Technique for Medicinal Plant Identification System using Fuzzy Local Binary Pattern

2017 ◽  
Vol 11 (1) ◽  
pp. 78-91
Author(s):  
N.N. Kutha Krisnawijaya ◽  
◽  
Yeni Herdiyeni ◽  
Bib Paruhum Silalahi ◽  
◽  
...  
Keyword(s):  
Medicinal Plant ◽  
Local Binary Pattern ◽  
Identification System ◽  
Plant Identification ◽  
Parallel Technique

Unique Shape Descriptor Algorithm for Medicinal Plant Identification (SDAMPI) With Abridged Image Database

2020 ◽  
Vol 20 (21) ◽  
pp. 13103-13109
Author(s):  
Jibi G. Thanikkal ◽  
Ashwani Kumar Dubey ◽  
M. T. Thomas
Keyword(s):  
Medicinal Plant ◽  
Image Database ◽  
Shape Descriptor ◽  
Plant Identification ◽  
Unique Shape

scholarly journals Medicinal Plant Identification Using Deep Learning

2021 ◽  
Vol 3 (Special Issue ICITCA-2021 5S) ◽  
pp. 48-53
Author(s):  
Geerthana R. ◽  
Nandhini P. ◽  
Suriyakala R.
Keyword(s):  
Deep Learning ◽  
Medicinal Plant ◽  
Plant Identification

scholarly journals Medicinal Plant Identification using Gabor Filters and Deep Learning Techniques: A Paper Review

2021 ◽  
Vol 17 (12) ◽  
pp. 1210-1221
Author(s):  
Stephen Opoku Oppong ◽  
Frimpong Twum ◽  
James Ben Hayfron-Acquah ◽  
Yaw Marfo Missah
Keyword(s):  
Deep Learning ◽  
Medicinal Plant ◽  
Gabor Filters ◽  
Plant Identification ◽  
Learning Techniques ◽  
Paper Review

scholarly journals Implementasi Pengolahan Citra Untuk Identifikasi Daun Tanaman Obat Menggunakan Levenberg-Marquardt Backpropagation

2021 ◽  
pp. 1-8
Author(s):  
Atsilfia Alfath Syam ◽  
Silfia Rifka ◽  
Siska Aulia
Keyword(s):  
Network Architecture ◽  
Aloe Vera ◽  
The Elderly ◽  
Recognition Algorithm ◽  
Identification System ◽  
Plant Identification ◽  
Betel Leaf ◽  
Reading Errors ◽  
Levenberg Marquardt ◽  
Offline Testing

Digital Image processing implementation can be applied to identify medicinal leaves, because it can help the elderly and people with color-blindness in identifying medicinal leave to be consumed and in avoiding reading errors, since some leaves have similar shape and color . In this discussion, the feature-extractions are using color and shape features, and using Levenberg-Marquardt for pattern recognition algorithm. The success of this medicinal plant identification system resulted in fairly good accuracy. The backpropagation network architecture used two hidden layers with 10 and 5 neurons. Data training is using 60 training leaf images with 15 images each of 5 types: green betel leaf, red betel, soursop, castor and aloe vera. Then, offline testing is using 20 test images for each of 4 images from 5 types with the accuracy of 85%. Meanwhile the online (realtime) test is using 20 times for each leaf types so the accuracy is 88%.

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