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Research Paper

Best Crop Yield Prediction and Maintenance of Soil Fertility using pH Value of Soil: Predicting pH Value using Digital Image Processing and Linear Regression

the pH of the soil is a key factor that can impact nutrients in the soil and plays an important role in deciding what crops will we yield on the farm as well as fertilizer that farmers will use to make their crops better. The traditional methods are proven by many scientists and have their own disadvantages like sensor damage and maintenance of kits. The alternate solutions such as image processing-based prediction give more accurate and fast results than traditional methods. Here, we have used image processing and a Linear Regression algorithm to identify the pH level of the soil. Basically, to determine the pH level of soil, pH kits from labs are used. But they are not always accurate as they add extra maintenance for the results. To overcome this issue, we proposed a system that can obtain the pH value, recommend the crop for the same and also show the nearest fertilizer stores to the farmer. For crop recommendation system it uses attributes like soil pH, the texture of the soil, the color of soil, and nutrients available in the soil. In this paper, we proposed a method to get the result of soil pH instantly, so that it will be easier for farmers to analyze the crop prediction.

Published by: Himanshu Ajay Borade, Amogh Chandrashekhar Kurlekar, Pranjal Shailendra Sawarbandhe, Randhir Arun Gitte, Dr. Rohini Chavan

Author: Himanshu Ajay Borade

Paper ID: V8I3-1271

Paper Status: published

Published: June 21, 2022

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Review Paper

Conceptual Study of Efficacy of Shwadanshtrabala Vati in Garbhini Mutraroga W.S.R to Mild Urinary Tract Infections During Pregnancy

Ayurveda has given care to the Stree (women) at every aspect of her life in the form of Rajaswala (menstrual care), Garbhini paricharya (antenatal care) and Sutika paricharya(postnatal care). Among all this, giving birth with healthy mother and baby is aim of antenatal care. Progressive changes (both anatomical and physiological) during pregnancy are not only confined to genital organs but also to various systems of the body. Some changes occurring inside woman’s body can be felt as discomfort by a pregnant woman. During pregnancy due to these changes occurring inside mother’s body many maternal illnesses are common among which urinary tract infection (UTI) is most common. pregnant woman having symptoms like burning micturition, frequency of micturition, urgency of micturition, pain during micturition, pain in suprapubic region is considered under garbhini mutraroga which can be correlated with urinary tract infection. The Mutraroga are widespread since the Vedic period. Our ancient acharyas had detail knowledge about their management and etiopathogenesis. In explanation of garbhini vyadhi, mutraroga is not described. but Acharya Kashyapa has opined that the etio-pathology of the physical and psychological disorders that occurs in pregnant women is same as in normal individuals i.e doshas, dushya are same in both.i

Published by: Dr. Mrudula Kulkarni, Dr. Neha Agrawal

Author: Dr. Mrudula Kulkarni

Paper ID: V8I3-1412

Paper Status: published

Published: June 20, 2022

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Research Paper

The Fall of the Greek Economy

Throughout history, numerous countries have faced economic crises at different points in time. Such crises affect the country's economic stability and have a domino effect on the country's social and political atmosphere. One of the most prominent financial crises in recent history has been the downfall of the Greek economy. Through this paper, we aim to understand the reasons leading up to the Greek debt crisis, the policies taken to tackle the grave issue and the aftermath of these policies. We have also covered the current scenario and how Greece's already weak economy is battling the Covid-19 pandemic.

Published by: Simran Raina, Tanushree Sarda, Srishti Sahni, Siddharth Agrawal, Siddhant Vasudeva

Author: Simran Raina

Paper ID: V8I3-1407

Paper Status: published

Published: June 18, 2022

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Others

Image Processing in Industry 4.0

The world is moving rapidly towards establishing industry 4.0 in every field. The concept of industry 4.0 is to replace humans with Robots or Software bots to perform repetitive tasks and tasks that require a high amount of accuracy and speed. Industry 4.0 is achieved by connecting various machines that can communicate with each other to collect and analyze tremendous amounts of data. These machines are connected to a large number of high-precision sensors and actuators that can help to monitor, operate and manage various industrial processes in real-time. The use of machine learning and artificial intelligence has enabled machines to automate various processes that required manual labor and also to make accurate decisions without the need for any human intervention. Image Processing is a major component of Industry 4.0. The main objective of this paper is to understand the concept of image processing, and its application in the industry and to build a simple Machine Vision (MV) solution that uses image processing algorithms to detect an object irrespective of its orientation.

Published by: Jhanavi Trilok, Shivkumar A., Dr. Babu Rao, Dr. S. Saravana Kumar

Author: Jhanavi Trilok

Paper ID: V8I3-1406

Paper Status: published

Published: June 18, 2022

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Thesis

Migration of Database from Oracle to Sybase System

This Migration intends to give the relocation interaction from an Oracle database to Sybase ASE (Adaptive Server Enterprise). By “migration " we mean the most common way of changing a client-server application at present involving the Oracle database as its RDBMS, to such an extent that it utilizes the Sybase ASE database instead. This Migration has as its essential concentration to move usefulness from Oracle to Sybase ASE. Execution-related parts of Sybase ASE are covered Sybase ASE is the data set that powers Wall Street. ASE has been conveying unshakable dependability and top-level performance for the beyond 25 years. Sybase ASE has a lower total cost of ownership than Oracle and delivers better performance on the same hardware. Sybase ASE is ready to be the database in any application that runs on Oracle today

Published by: Praful R. Nagpure

Author: Praful R. Nagpure

Paper ID: V8I3-1405

Paper Status: published

Published: June 18, 2022

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Research Paper

Detection of phishing websites using a Machine Learning approach

In recent years, advancements in Internet and cloud technologies have led to a significant increase in electronic trading in which consumers make online purchases and transactions. This growth leads to unauthorized access to users’ sensitive information and damages the resources of an enterprise. Phishing is one of the familiar attacks that trick users to access malicious content and gain their information. In terms of website interface and uniform resource locator (URL), most phishing webpages look identical to the actual webpages. Various strategies for detecting phishing websites, such as blacklist, heuristic, Etc., have been suggested. However, due to inefficient security technologies, there is an exponential increase in the number of victims. The anonymous and uncontrollable framework of the Internet is more vulnerable to phishing attacks. Existing research works show that the performance of the phishing detection system is limited. There is a demand for an intelligent technique to protect users from the cyber-attacks

Published by: Koushik Kumar Reddy, E. Surendra, M. Sai Nikhil Gowd, N. Jaya Pradeep Reddy, Narasimhayya B. E.

Author: Koushik Kumar Reddy

Paper ID: V8I3-1404

Paper Status: published

Published: June 17, 2022

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