Plant Disease Recognition using Artificial Intelligence
The project Plant Disease recognition using AI is made for the farmers to take care of their farms and fields and to help them by recommending and suggesting to them a proper guideline for control measures to be taken. In this Project `Plant Disease Recognition using AI` we have focused on Detecting some plant diseases using Artificial Intelligence by using Various Algorithms like CNN Algorithm. We have used Hardware components like Sensors, Raspberry pi, and ADC convertors and created a sort of handheld device for taking readings from plants and by using face recognition algorithms like CNN and KNN algorithm we detect the disease by comparing the images from the standard images. In This project, we have used Thinkspeak which represents the data from IoT in a pure database format so that the data can be easily analyzed by using various DBMS Techniques. After getting the data from Thinkspeak that data will be undergoing through the various algorithm that we have mentioned in the project which is performed at the backend. In the frontend for the results to be displayed for the user, we will be creating a dashboard that will inform the user about the various diseases that the plant/crop is undergoing. For that we will be using app developing methods like react.js, node.js, ML5.js, etc. . We have used Tensor Flow which is one of the Machine Learning libraries for performing Machine Learning. IoT using Thinkspeak is used as this way we have combined all the software and the hardware aspects of our project to result in a hardcore product which would be very beneficial for the farmers of our country to take proper care of the crops and to take preventive measures so that there won't be any loss to farmers. This project is aiming to make the farmer’s life easy and better. The Sensor Programming is done in python and uploaded to the firebase.
Published by: Taha Qureshi, Durgesh Upadhyay, Rahul Prabhu, Adarsh Jadhav
Author: Taha Qureshi
Paper ID: V7I5-1246
Paper Status: published
Published: September 20, 2021
Application of Information Technology in Stock Market
India was introduced to the Internet in the early '90s and the users started to increase rapidly. India stands 5th in the list of countries by the number of internet users. The Stock markets introduced Internet trading (online trading) in February 2002 which has brought a tremendous change in trading. The National Stock Exchange started the first form of online trading wherein users/investors can buy/sell stocks in a day without much paperwork. Earlier it used to take around 60 days to buy/sell stocks in stock markets and the investor also had to go through loads of paperwork. But thanks to Internet the wait has been curbed and in the last ten years, Indian capital markets have recorded 1488% of growth in exchange turnover. The online trading system of NSE is used by companies to make IPOs through book building. It is a fully automated screen-based bidding system that allows trading members to enter bids on behalf of their clients. All bids received by the system are numbered, time-stamped, and stored in the book till the last day of the book-building process, and the offer price is determined after the bid closing date. While ensuring efficient price discovery, this system reduces the time taken for the completion of the issue process.
Published by: Disha Bhagat
Author: Disha Bhagat
Paper ID: V7I5-1230
Paper Status: published
Published: September 20, 2021
Impact of work from home on Communications in COVID-19 Pandemic
COVID-19 had adversely affected the global economy, causing mass disruption and unemployment. It had tremendously affected all the sectors, causing predicaments in daily chores. Several measures were laid out to re-establish regular routines, Work From Home was one of them. We conducted this study to check the impact of the COVID-19 on communication during Work From Home and the work environment during the corona pandemic. This article describes the working trends during Work From Home in the COVID-19 era of the Indian population. Difficulties developed during working from home and their potential solutions have been highlighted. This paper had discussed the virtual working regimes during Work From Home based on an online survey conducted; we have considered several socio-economic and geographical factors. We focused on working professionals working from home during the first phase of the coronavirus pandemic in India dated between April 2020 to August 2020, where 220 working professionals participated. This article also weighs the importance of electronic meeting platforms, categorized into personal & social network platforms, professional meeting platforms, and remote access and control platforms. The data analysis and interpretation showed that the Work From Home had proven to be more productive for the information technology sector than the manufacturing industry because of the nature of the work involved.
Published by: Yogesh Patil, Ashik Kumar Patel, Yash Gopal Mittal, Ashmak Moon, Sudhanshu Dubey, Milind Akarte, Balkrishna Narkhede, Manoj Kumar Tiwari, K. P. Karunakaran
Author: Yogesh Patil
Paper ID: V7I5-1197
Paper Status: published
Published: September 18, 2021
Intelligent Accident Detection and Alert System
Road accidents rates are very high nowadays due to various factors. Timely medical aid can help in saving lives. Traffic congestion, lack of ambulance services, no network connectivity are the major elements that delay the provision of medical help. An automated response system is required to resolve these factors. For building such automated systems smartphones with their in-built sensors are excellent platforms. In this paper, we introduce the ADAS (Advanced driver-assistance systems) which will reduce the time gap and ensure medical assistance immediately. The server and the ADAS software are the two main components of this system. In this ADAS client system, the location can be identified with the support of in-built sensors in the Smartphone and it will alert the nearest medical assistance provider, which will enable the team to arrive at the accident site on time. The action time and the death tolls can be decreased with the help of this ADAS system.
Published by: Saravanan T., Swetha S., Sowmiya S., Sindhu N. R., Sneha T., Rithika S.
Author: Saravanan T.
Paper ID: V7I5-1228
Paper Status: published
Published: September 18, 2021
IoT based home automation using FPGA
A comfortable lifestyle is improving with the advance in technology day by day. Internet helps us provide any required information which any individual wants. IoT abbreviation for Internet of things helps us not only to get a comfortable lifestyle but also helps us to establish smooth and errorless transfer in communication. In-Home automation any appliance can be connected through IoT and can be used by our smart phones through application. Home automation is the future of smart homes. Wireless Communication using Wi-Fi is always placed into consideration compared to wired communication, as it is not only reliable but also easy to use. Wireless Communication like Bluetooth, Zigbee has a very short range. IoT uses WiFi to transfer data and it also helps to transfer data over a long-range using Static IP addresses and the Internet. FPGA helps to establish smooth connection between FPGA and home appliances. FPGA board provides high security and flexibility to the circuit. Home appliances are controlled using an FPGA board and it receives commands in serial communication from IoT Module through the application in the smartphone. It can also give us alerts through our application and also through the web IP address which can be protected by a password. It can also help us in long-distance communication with home appliances. There are many more advantages that can help us lead a comfortable lifestyle with IoT and FPGA board.
Published by: Aadesh Pawar, Shubham Gurav, Vanshika Parkar, Swarnima Patole, Satendra Mane
Author: Aadesh Pawar
Paper ID: V7I5-1243
Paper Status: published
Published: September 18, 2021
Vehicle area impact on fuel efficiency in platoon management
Due to the continuous increase in highway transport, the expectation on the automotive manufacturer is increasing for more fuel-efficient solutions. Vehicle platooning attracts considerable attention from the manufacturers and customer business model because of reduced fuel consumption which gives more profits during transportation. Vehicle Platooning is a technique where highway traffic is organized into a group of close-following vehicles called platoon or convoy. In-vehicle platoon management, the lead vehicle is led by one or more following vehicles in the longitudinal direction. This research work focuses on the impact of the vehicle area on fuel efficiency and also demonstrates the importance of vehicle area to achieve better fuel efficiency during platoon management. This paper has been divided into four sections, it starts with an introduction to the vehicle platoon and state of art. The second part of the work describes basic mathematical modeling to analyze vehicle area impact in platoon management. The third part describes the analysis of vehicle area impact in the platoon management and finally concluding the research work.
Published by: M. S. Sunitha Patel, Dr. Srinath S.
Author: M. S. Sunitha Patel
Paper ID: V7I5-1222
Paper Status: published
Published: September 16, 2021
