Ayurvedic Plant Identification using Image Processing and Artificial Intelligence

Abstract

Wireless networks provide small sensing, machine and wireless networking nodes. Different designs and implementation techniques were built based on the device requirements for wireless network sensors (WSN). Sensor networks are used in various applications, such as environmental monitoring, home automation, military applications, etc. In this study introduce an architectural survey and deployment of nodes in the Wi-Fi Sensor network in this article. The environmental features that can be added to the sensor networks are given. The program relies on the node installed in the WSN and is deterministic or random. But the biggest issue in both cases is the coverage of the region involved. Researcher also describe WSN routing protocols. In this paper, a new technique to deployment problem is proposed based on the artificial bee colony (ABC) algorithm which is enhanced for the deployment of sensor networks to gain better performance by trying to increase the coverage area of the network and energy consumption. The good performance of the proposed EABC algorithm shows that it can be utilized in the deployment of WSN.

Intervention of IT in Rog Nidan Evum Vikriti Vigyan - An Explorative Review

“…[13] Here is the list of video interview-based software - All above type of examinations findings recording, visualization on different scales in different devices, storage as a database, analysis, and sharing of digital recordings is also possible with the help of digital devices nowadays which can be easily observed in digital telematics. [18,19] Furthermore, the examination involves a sequential analysis of bodily systems including the digestive system (comprising the mouth, tongue, throat, stomach, liver, intestines, spleen, and rectum), the cardiovascular system, the respiratory system, the urinary system (encompassing kidneys and bladder), the skin, the nervous system (comprising intelligence, knowledge, muscular efficiency, and sense organs such as dexterity and reflex action), as well as the bones and joints. Presently, numerous image-based methodologies are employed for diagnostic purposes, such as sonography, endoscopy, X-ray CT scans, magnetic resonance imaging (MRI), and nuclear medical imaging.…”

A Methodology for Identification of Ayurvedic Plant Based on Machine Learning Algorithms

“…In the study, two different plant leaf datasets are employed to prove the study's robustness. Feature extraction, image processing, and AI have been used to identify herbal plants [34]. Although faster learning and processing times could have been achieved with the use of an optimized model-based machine vision system, this was not done [35].…”