MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

&nbsp;

MIT World Peace University

Indian economy is contributed heavily by agriculture. Most of the Indian farmers rely on their instincts to decide the crop to be sown at a particular time of year. They do not realize that the crop output is circumstantial, and depended heavily on the present-day weather and soil conditions. A single uninformed decision by the farmer can have undesirable consequences on the economic conditions of the region and also mental and financial impacts on the farmer himself. Applying systematic Machine Learning models will effectively help to alleviate this issue. The dataset used in the paper is built by adding up the datasets of India’s rainfall, climate, and fertilizer. Machine learning models will be used on the dataset to get the highest accuracy model to recommend a crop for the farm's location. This recommendation will help the farmers in India to make learned decisions about the crops. The recommendation will take into account the parameters like the farm's location, sowing season, soil properties, and climate. © 2022 American Institute of Physics Inc.. All rights reserved.

World University root node

School of Computer Engineering & Technology

Engineering and Technology

AIP Conference Proceedings

Digital Agriculture: Crop Recommendation in India Using Machine Learning Models

Cognitive computing is an intelligent system that converses with and mimics the human being in a natural form by learning at scale, reasoning with purpose. Cognitive computing is the third era of computing and now cognitive computing has attracted considerable attention in both academia and industry. Machines and humans’ intelligence gets combined to solve the most complex problems of the world. Complicated problems can be solved by computing framework without intervention of humans. Natural language processing with emotion analysis, artificial intelligence (AI), machine learning, neural networks are building blocks of cognitive computing process to tackle problems as the way human beings do. Nowadays, advance technologies adapt cognitive computing in many areas to assist human experts in smart decision making for the betterment of businesses. Current technology expectations are to make human life better and to help them work in better ways. Nowadays, there is explosive data growth, business conditions are also changing rapidly so intelligent, hassle-free, and enhanced interactions amongst human beings and technology can be effectively addressed by cognitive systems. AI is in use in many apps like the Alexa: Amazon voice assistant, Netflix and Amazon algorithms which recommend the next to watch or buy. Some examples of personal assistants that uses cognitive computing are Alexa, Siri, Google assistant, and Cortana. Advancement of technology and its adoption in the public and private sectors will greatly affect the future of cognitive computing due to technology evolutionary paths and trends. Cognitive systems must be adaptive, interactive, iterative, and stateful and contextual in commercial and widespread applications. Some of the applications that can use cognitive computing to gain benefits from this type of technology are cognitive computing for changing business values, Financial and Investment firms, Healthcare and veterinary medicine, Travel and Tourism, Health and wellness, Education and learning, Agriculture, Communication and network technology. © 2021 Elsevier Inc. All rights reserved.

Cognitive Computing for Human-Robot Interaction: Principles and Practices

Introduction to cognitive computing and its various applications

The retail market is wide and has a lot of prospects to offer, may it be in terms of revenue or meeting the customer demands. Albeit the pros it is losing its daily or regular clientele because of the unnecessary overhead of going through the various aisles and racks to find the necessary product and then proceed to a lengthy procedure to checkout. This paper addresses one such major issue in a way that the customers benefit from and the retailers can easily increase and analyse the sales. The solution is achieved using a low energy Bluetooth Beacon that communicates with other Bluetooth devices that are within the range and hence acts as a locator. In this paper we also discuss the various use cases which can be applied in retail store to address the problems faced by the customer. Our focus is on minimal power/ resource consumption in all of the scenarios. We also discuss various algorithms and communication protocols to satisfy all the aspects of the problem statement.

2018 International Conference On Advances in Communication and Computing Technology, ICACCT 2018

Bluetooth Beacon Applications in Retail Market

A Dual printing system is a mechanism used in normal printer to reutilize not only print medium but also print media. This mechanism involves three different procedures which works according to sensors used in it. A waste paper sheet full of texts or images or scratches, is given as an input to the printer to erase all the rough text and reutilize the waste page. These texts or images or scratches are done by using pen or pencil or printer text. Also we can abstract and reuse printed text ink obtained during the Heating procedure. In this whole system three procedures are involved. In the first process, pencil made rough work on the paper/waste paper erased by using erasable toner. In second procedure normal printer ink made or ball pen made texts and images erased using heating mechanism. Printed text ink melted during heating procedure is fused by applying cold air through head2. After that fused ink particles are abstracted and collected in the black ink container and same container can be reused for next printing in the printer. If texts or images are not erased during erasable toner and heating process then third technique (white ink spreading) is applied over the pixels of the character or pattern to get blank sheet. By applying all above techniques printing medium and print media are reutilized without affecting paper quality to save paper cost, printer ink, carbon emission and environment.