Series-1 (Sep. - Oct. 2023)Sep. - Oct. 2023 Issue Statistics
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| Paper Type | : | Research Paper |
| Title | : | Leaf Disease Detection and Classification based on Machine Learning |
| Country | : | India |
| Authors | : | Pooja Sasane || Prof. V. V. Yerigeri |
| : | 10.9790/4200-13050106 ![]() |
ABSTRACT: Plant disease identification by visual way is increasingly difficult and simultaneously less accurate. However in the event that disease detection technique is used, it will take less time and processing power and proves to be progressively exact. Some broad maladies in plants appear dark coloured, yellow spots, and some are infectious, viral and bacterial diseases. Image processing is being used for estimation of infected area. Image segmentation is the process of collecting images into different parts. Now a day there are various strategies used for......
Keywords: Multi Leaf Disease Detection, Pre-processing, Classification algorithms, Feature Extraction, Convolutional Neural Network (CNN) etc
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[4]. Hanson, A.M.J.; Joy, A.; Francis, J. Plant leaf disease detection using deep learning and convolutional neural network. Int. J. Eng. Sci. Comput. 2017, 7, 5324–5328
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ABSTRACT: Scientists and researchers have a tremendous responsibility to improve the quality and expectancy of life, particularly human life. The researcher has chosen the presented field for research to identify possible innovative and advanced definite system designs to save numerous endangered lives of Individuals with Anxiety Disorder. The paper displays compact board can then be incorporated into an easy-to-wear device, such as a ring, which focuses on the finger and collects the physiological signals of GSR, PPG, and 3-axis sensors. This way, the user is only wearing.....
Keywords: GSR, PPG, 3-axis accelerometer
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ABSTRACT: The need for high capacity long haul telecommunication system to carry huge traffic demands in recent times has lead to the use of optic fiber communication system because of its high capacity carrying advantage over wireless systems. But optic fiber signals suffer some signal impairment issues such as nonlinearity which tends to degrade its transmission performance. This paper proposed the use of adaptive optical equalizer to mitigate such impairments. To achieve that, a simulink model of the system was first developed for simulation experiments. Then the impact of out-of-bound nonlinear signal on the three key performance indicators (Q Factor, Bit Error.....
Keywords: Nonlinear optic fiber, self-phase modulation, Kerr effect, refractive index, nonlinearity mitigation
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[3]. Poggiolini, P.; Jiang, Y. "Recent Advances in the Modeling of the Impact of Nonlinear Fiber Propagation Effects on Uncompensated Coherent Transmission Systems". J. Lightw. Technol. 2017, 35, 458–480. [CrossRef]
[4]. Golani, O.; Feder, M.; Shtaif, M. Kalman, "MLSE equalization of nonlinear noise". In Proceedings of the 2017 Optical Fiber Communications Conference and Exhibition (OFC), Los Angeles, CA, USA, 19–23 March 2017; Optical Society of America: Washington, DC, USA, 2017.
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