Zobrazeno 1 - 10 of 28 pro vyhledávání: '"T. Gayathri Devi"'
1
Akademický článek
Web enabled paddy disease detection using Compressed Sensing
Autor: T. Gayathri Devi, A. Srinivasan, S. Sudha, D. Narasimhan
Publikováno v: Mathematical Biosciences and Engineering, Vol 16, Iss 6, Pp 7719-7733 (2019)
In agricultural industry, paddy diseases play a vital role to cause economic losses. Hence, the detection of diseases of paddy plants and give suggestions to the peasants is beneficial to increase the yield quantity of rice. In this paper, a novel we
Externí odkaz: https://doaj.org/article/42e0bf1ea4b345d39f0d1654b4b01f14
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4
Detection and Classification of Diabetic Retinopathy Using Image Processing Algorithms, Convolutional Neural Network, and Signal Processing Techniques
Autor: Sudha S., Srinivasan A., T. Gayathri Devi, Mardeni Bin Roslee
Publikováno v: Advances in Computational Intelligence and Robotics ISBN: 9781799888925
Diabetic retinopathy (DR) affects blood vessels in the retina and arises due to complications of diabetes. Diabetes is a serious health issue that must be considered and taken care of at the right time. Modern lifestyle, stress at workplaces, and unh
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a4b4704ae3fc3d22e58b3e64ed7cf722
https://doi.org/10.4018/978-1-7998-8892-5.ch017
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5
Image processing based rice plant leaves diseases in Thanjavur, Tamilnadu
Autor: P. Neelamegam, T. Gayathri Devi
Publikováno v: Cluster Computing. 22:13415-13428
India is a highly populated agricultural country which has land area of 60.3% for agriculture purpose. The production of rice plant is decreased up to 20–30% because of various diseases. The most frequent diseases occurred in paddy leaves are leaf
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2fdd63a8554d52857276d2b9b8e926d6
https://doi.org/10.1007/s10586-018-1949-x
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8
Image Processing System for Automatic Segmentation and Yield Prediction of Fruits using Open CV
Autor: T. Gayathri Devi, S. Sudha, P. Neelamegam
Publikováno v: 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC).
In fruit harvesting systems, automatic yield counting of fruits becomes a big issue. Image processing techniques minimizes the manual task of recognizing and counting the fruits. In this paper, an image processing system for automatic segmentation an
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::79be3aa8e575419912270cf835a04127
https://doi.org/10.1109/ctceec.2017.8455137
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10
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