School of Polytechnic and Skill Development

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;

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MIT World Peace University

Agriculture is very significant economic sectors in every country. Farm Monitoring aims to accomplish exact management of irrigation, fertilizer, disease, and insect prevention in crop farming. In agricultural area, wireless sensor networks (WSNs) are used to gather data and communicate it to servers over a wireless link. Eighteen input characteristics were utilized to create the model, and crop yield was found and organized into three key components. When creating the multiclass model, the relative significance of the components is taken into account. For categorization of three crops: rice, groundnut, and sugarcane, an objective function is defined. A multiclass model based on a hybrid deep learning classifier approach (CNN + LSTM) is used. Furthermore, data visualization analysis is utilized to identify essential approaches in progress of smart agriculture that efficiently increase efficacy of production and assure agricultural product quality. Use of smart agriculture is progressively being incorporated into agricultural production, and advent of Internet of Things (IoT) is giving it a technological boost. Agricultural tasks precisely accomplished using the IoT’ detecting, transmission, observing, and input capacities, which saves farmers’ time and enhances crop yields and advantages them in long run. We installed smart agriculture IoT equipment in farm for monitoring reasons and used the algorithm in our research to do an actual-scenario analysis; the findings show that this suggested scheme is actually practical. The categorization findings are compared to the results acquired from on-the-ground agricultural specialists. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

World University root node

Lecture Notes in Electrical Engineering

Astute Farm Monitoring Using WSN and AI—A Solution for Optimally Monitoring Environmental Conditions

Fast Automated Detection of COVID-19 from CT Images Using Transfer Learning Approach

School of Computer Engineering & Technology

Engineering and Technology

Lecture Notes in Networks and Systems

Attack Detection in Internet of Things: A Systematic Literature Review

Face recognition system has become an integral a part of our modern-day to life. Varied applications of face recognition system. Digital image process could be an evolving field with growing applications in science and engineering. Image process holds the chance of developing the final word machine that might perform the visual perform all living beings It is employed in video surveillance, human pc interface and image management. Image or Video process has become a serious demand in current world. this method is majorly accustomed sight, acknowledge and track varied objects. Face sighting and following is that the section wherever we tend to detect someone's face from a image or in video sequence and track him/her throughout the video. It plays very important role in video corrections, police work, military following thus on.

IJCA-International Journal of Computer Applications

Visual Media based CCTV Victim Tracker

Cybernetics and Systems

Deep E-Learning RecommendNet: An Acute E-Learning Recommendation System with Meta-Heuristic-Based Hybrid Deep Learning Architecture

13th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2022

An Empirical Survey on Early Health Condition Prediction based on Clinical Parameters

Cloud computing is gaining more popularity in various industries as it enables in creating better services to different individuals, companies and government. With the progressive aspect on the concept, it offers flexible solutions to the growing computing problems related to infrastructure, application and other aspects. Cloud computing enables in minimizing the investments on IT infrastructure as it offers better and extensive support in saving various data and information of the companies, government and individuals, enable in retrieving them as and when required. Through the application of cloud computing the users received better and reliable services from the service providers which enables in reducing the investments, optimizing the cost and enable in enhancing products of the company in the long run. The cloud computing is taking better aspects and is considered as the paramount aspect for the business and individuals. This study is more focused in making a comparative understanding in the optimization techniques using machine learning based cloud computing systems. This research is more focused in analysing the application of machine learning as a key technique which can be applied in order to estimate the request patterns of the clients related to cloud storage. The research further focuses on the machine learning techniques covering linear regression model, Artificial neural networks, Support vector machines etc. are being explored in order to understand the optimization techniques for services the users in a better manner. The research applies questionnaire method for collecting the information and extensive analysis using SPSS is applied for analysing the data. © 2022 IEEE.

Proceedings of 2nd International Conference on Innovative Practices in Technology and Management, ICIPTM 2022

Comparative Study on Various Storage Optimisation Techniques in Machine Learning based Cloud Computing System

2022 6th International Conference on Computing, Communication, Control and Automation, ICCUBEA 2022

Review on Recent Research Trends and Applications in Delay Tolerant Networks

The water is most precious thing on the Earth. The agriculture sector is main user of available fresh water on the earth. We have to use water optimally and if crops are irrigated optimally then yield will be more. In the paper we have, implemented Evapotranspiration based Smart Irrigation System for Agriculture. The system is implemented using online weather parameters, data from moisture sensor and Raspberry pi. Estimation of crop water requirements (ETc) is one of the major parameter used in automated irrigation system. The prediction of Reference Evapotranspiration (ETo) is based on meteorological variables like temperature, humidity, daily sunshine hours, wind speed. By applying a crop coefficient (Kc) values from standard FAO document, we can estimate Crop Evapotranspiration (ETc) using estimated value of this ETo. In this paper, two standard methods are used as "Blanney Criddle method"and "Modified Penman method"to estimate value of reference Evapotranspiration ETo). We have implemented system to determine reference evapotranspiration (ETo) and crop Evapotranspiration (ETc) for Wheat Kharif crop for Pune region. The system is implemented using online weather parameters, data form moisture sensor and Raspberry pi. The data from moisture sensor and crop water requirement (ETc) is used to estimate actual need of irrigation for selected crop and water pump will be automatically ON/ OFF. © 2022 ACM.

ACM International Conference Proceeding Series

Evapotranspiration Based Smart Irrigation System for Agriculture

IoT and sensor networks will be the best choice for Information gathering and monitoring in the current situation. IoT provides a number of applications on the basis of sensors in the field of research as well as educational fields. For Health care system monitoring and management Wireless body area network (WBAN) mostly used in recent applications. This paper proposed a monitoring system to help patients and doctors within the hospital area. It focuses on evaluating scalability, reliability, convenience and effectiveness for the IoT based system. Real time health related information collection, monitoring, prescription management and analysis discussed in this paper. Network simulator used to determine performance of proposed system and it compares with different communication protocols for determining better technique for Health monitoring. © 2022 IEEE.

2022 IEEE Pune Section International Conference, PuneCon 2022

IoT Based Intelligent Healthcare Monitoring System