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Review on Crop Prediction Using Deep Learning Techniques

Journal of Physics: Conference Series 2021年第1期1767卷

作者： M K Dharani R Thamilselvan P Natesan PCD Kalaivaani S Santhoshkumar Assistant Professor Department of Computer science and Engineering Kongu Engineering College Erode Professor and Head Master of Computer Applications Kongu Engineering college Erode Professor and Head Computer Technology (UG) Kongu Engineering college Erode Assistant Professor (SLG) Department of Computer science and Engineering Kongu Engineering College Erode Assistant Professor (SRG) Department of Computer science and Engineering Kongu Engineering College Erode

Agriculture is the very important sector of each country, where the gross domestic pay relies on it. The outcome of the agriculture or crop management was completely based on the end yield and the market rate. The complete factor of the crop yield depends on timely monitoring and suggestion. Artificial intelligence gives a way to monitor the crop and to predict the yield in an automatized outcome. The study has been made on the deep learning and its hybrid techniques such as Artificial neural network, deep neural network and Recurrent neural network. It helped to identify how the technology of artificial intelligence helps to improve the crop yield. The research study clearly gives the idea and need of recurrent neural network and hybrid network in the field of agriculture. It also shows how it outperforms the other networks such as artificial neural network and convolutional neural network. The results were analyzed and the future perspectives were drawn with the obtained outcome.

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Empowering leadership Qualities of engineering Students through Initiatives

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Procedia computer Science 2020年 172卷 393-396页

作者： Hema Mahajan Rahil Hussain Santosh Madeva Naik Kannaiah 2nd Year ECE Student Department of Computer Science Engineering HITAM Hyderabad Telangana 501401 India Assistant Professor Department of Mechanical Engineering HITAM Hyderabad Telangana 501401 India

engineering Education is not delimited between its curriculums. However, it also needs several alternative skills to grab opportunities and help students to face any situation in the world. Our Institute has always encouraged having smart projects on the campus for bringing transformation in engineering education. It is collaborated with the IUCEE (Indo Universal collaboration for engineering Education) and began several initiatives that prove students ability, enhancing students skills for their carrier. Leadership is one of the skills that are very much important for students to achieve their goals in life. This paper can make a case study for many initiatives, its impact, and emerging skills of the students to make them better in the future. This study emphasized more on the leadership skills and its importance that each student ought to have. Institute has Speed, Scale, EPICS, SSG, and toastmaster programs on the campus where various students from different disciplines have joined and enhanced their leadership skills.

关键词： Leadership Scale Speed EPICS Toast Master

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Detection of crop disease using optimization model in biodiverse environment

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AIP Conference Proceedings 2023年第1期2855卷

作者： Dixit Baravaliya Vipul Vekariya Ishan Rajani Research Scholar Parul Institute Of Engineering And Technology Vadodara 391760 India Dean & Principal - FET Parul University Vadodara 391760 India Department of computer science and engineering Assistant Professor at Parul University Vadodara 391760 India

Diseases of the crop and insect pests are among the main causes of crop loss which is dangerous for agricultural production. Disease recognition is more difficult on the field because it has a complex background and different light intensity. Initial recognition and pests identification can significantly reduce the financial losses caused by pests. Using convolution neural networks, crop diseases can be automatically identified. The identification of a disease is often based on signs such as lesions or spots found in various slices of a plant. The size, color and the amount of these spots can define in great detail the disease that has killed the crop. Public data set is used as a data set. Experimental environment Model works on is a biodiverse environment.

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Collision avoidance for a multi copter using ultrasonic sensor embedded with Arduino Uno

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AIP Conference Proceedings 2023年第1期2855卷

作者： N. C. Ajay Vishwath Ashish Prajapati Tanishka Mourya Lokesha Gangadharani Assistant Professor Department of Aeronautical Engineering Parul Institute of Engineering and Technology Parul University Vadodara India. UG Student Department of Aeronautical Engineering Parul Institute of Engineering and Technology Parul University Vadodara India. UG Student Department of Computer Science Engineering Parul Institute of Engineering and Technology Parul University Vadodara India.

This research work focuses on the Collision Avoidance for a Quadcopter or a Hexacopter using Ultrasonic sensor Embedded with Arduino Uno. The work starts from the definition of Quadcopter and Hexacopter flight controls proceeds to the flight control’s response while encountering an Obstacle. The work further carried to avoid the same. The research idea is about using the ultrasonic sensor being embedded with arduino board for any kind of obstacle detection. This research work has been carried out keeping in mind the principle that ultrasonic sensor sends and receive signal to measure distance. So the positioning of sensor explained in this paper adds a weight age to this research work. Sensors in Quadcopter are used to detect any obstacle during the flying mode to avoid collision.

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Effects of business intelligence tools on financial performance of it industry

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AIP Conference Proceedings 2024年第1期2971卷

作者： Yeluri S. D. S. Sri Vardhan U. M. Gopal Krishna I. Tejaswini K. Samuel Johnson Israel P. Prathyusha Assistant Professor Department of Computer Science and Engineering Sumathi Reddy Institute of Technology for women Ananthasagar Telangana VIT – AP School of Computer Science & Engineering VIT – AP University Andhra Pradesh India VIT – AP School of Business VIT – AP University Andhra Pradesh India Sumathi Reddy Institute of Technology for Women Warangal Telangana India

The goal of Business Intelligence is to look into, combine, and logically collect and analyse data from different customer information sources, the environment, competitors, and markets, etc., in order to judge how well businesses in the IT industry are doing. The goal of this study is to find out how Business Intelligence tools affect how well IT companies do financially. The method is a descriptive survey that can’t be used in real life. As part of the study, 420 IT experts from IT companies in Hyderabad were looked into as part of the statistical population. Also, confirmatory factor analysis was used to check the validity of the 25-item questionnaire, and validity analysis was used to gather data. The results showed that Business Intelligence had a big effect on the financial performance system of the organisation. Still, Business Intelligence made IT companies more innovative. Financial Forecasting and Financial Control System affect the financial performance system by 0.11 and 0.05 points, respectively. The Fund Management System affects the financial performance system by -0.07 points. The Financial Performance System is affected by the Internal Audit System by 0.05. The effects of Financial Forecasting, Financial Control System, and Internal Audit System on the organization’s financial performance system. Thus, it can be concluded that Structured Equation Modelling in IBM SPSS AMOS has been used to indirectly examine the impact of Business Intelligence tools on financial performance. Surprisingly, these three elements are required to improve financial performance.

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Secure K-NN Query on Encrypted Cloud Data with Multiple Keys

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Journal of Physics: Conference Series 2021年第1期1770卷

作者： R. Vignesh D. Deepa Suja Cherukullath Mana B. Keerthi Samhitha Assistant Professor Department of Computer Science and Engineering Sathyabama Institute of Science and Technology

Cloud computing has become an undeniably famous assistance for its adaptability and versatility, which rouses numerous associations, foundations and organizations to want to re-appropriate data administrations to cloud stage. Simultaneously, much consideration has been paid to adapt to the extraordinary security and protection issues in recloud cloud. The general methodology is to scramble data by the data owner (DO) before re-appropriating; the approved query user play out an unpredictable arrangement of encryption and decoding tasks during question execution. In any case, the above plans have accepted that the question clients are completely trusted and have the entrance to the key for scrambling and unscrambling recloud data. It will achieve a few issues in reality. So we propose a novel plan for secure KNN inquiry on encoded cloud data with various keys, in which the data owner and each question client all hold their own various keys, and don't impart them to one another; in the interim, the data owner scrambles and decodes re-appropriated data utilizing the key of his own. Our plan is built by set of conventions to jelly the data classification and question over scrambled cloud data without key-sharing.

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Mitigating post-harvest losses through IoT-based machine learning algorithms in smart farming

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AIP Conference Proceedings 2024年第1期3161卷

作者： R. Rajesh Kanna T. Mohana Priya V. Sivakumar Chandrasekharan Nataraj Jishamol Thomas Assistant Professor Department of Computer Science CHRIST (Deemed to be University) Bangalore India Associate Professor School of Computing Faculty of Computing Engineering and Technology Asia Pacific University of Technology and Innovation Kuala Lumpur Malaysia Senior Lecturer School of Engineering Faculty of Computing Engineering and Technology Asia Pacific University of Technology and Innovation Kuala Lumpur Malaysia Research Scholar Department of Sociology and Social Work CHRIST (Deemed to be University) Bangalore India

This research paper explores the transformative potential of Internet of Things (IoT) technology in mitigating the longstanding issue of post-harvest losses within the agriculture sector. These losses, which encompass both quantitative and qualitative deterioration of food commodities from harvest to consumption, have posed persistent challenges, resulting in economic losses and food wastage. By delving into the current landscape of post-harvest losses and the application of IoT technology, the paper offers valuable insights into how IoT can be harnessed to reduce these losses effectively. It not only highlights the benefits and existing IoT solutions but also addresses the inherent challenges, providing recommendations for their resolution. Moreover, the research introduces a machine learning-based model, specifically Random Forest ML, to identify and prevent losses in tandem with IoT devices, empowering farmers with timely alert messages for informed decision-making, thus fostering a more sustainable and efficient agricultural ecosystem.

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Efficient Predictive Model for Utilization of Computing Resources using Machine Learning Techniques

Efficient Predictive Model for Utilization of Computing Reso...

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International Conference on Confluence The Next Generation Information Technology Summit (Confluence)

作者： K.S. Sendhil Kumar M. Anbarasi G. Siva Shanmugam Achyut Shankar School of Computer Science and Engineering Vellore Institute of Technology Vellore Tamil Nadu Assistant Professor Department of CSE Amity University Uttar Pradesh

ISBN: (数字)9781728127910

ISBN: (纸本)9781728127927

Data mining is a viable innovation to break down and extract patterns from crude information, which can change the original data into up-to-date information. Predictive analytics includes an assortment of factual systems that analyze present and historical facts to make forecasts about future or generally obscure occasions. Machine learning incorporates statistical methods for regression and classification. The objective of machine learning is to create a predictive model that is unclear from the correct model. The assessed relative execution qualities were evaluated by Ein-Dor and feldermesser utilizing a linear regression method considering the properties machine cycle time, minimum main memory, maximum main memory, cache memory, minimum channels, and maximum channels. This relationship is communicated as a mathematical statement that predicts the reaction variable published relative performance as a linear function of the parameters. The proposed technique utilizes machine learning work to re-phrase prediction as an optimization problem. Confidence prediction and polynomial regression include imaginative application utilization and promising research. The experimental evaluation platform contains detailed performance analysis of the preferred methods. It is expected that this machine learning approach gives a quick and straightforward approach to fabricate applications.

关键词： Predictive models Mathematical model Data models Regression tree analysis Machine learning Computational modeling Linear regression

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Sensor integrated modules – Social distance & hygiene solutions for COVID-19 pandemic

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AIP Conference Proceedings 2024年第1期2512卷

作者： Kalyan Dusarlapudi Narasimha Raju Kuthuri Kattupalli Sudhakar Prathyusha Chennupati Shiny Syam Mallolu Sai Harshitha Padala Venkata Siva Kumari Narayanam Department of Electrical and Electronics Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram A.P India Senior Assistant Professor Department of AI&DS Lakireddy Balireddy College of Engineering Mylavaram India Department of Computer Science Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram A.P India Communication and soft skills department Koneru Lakshmaiah Education Foundation Vaddeswaram A.P India

The Covid-19 pandemic has opened doors to the academic community to explore more possibilities for innovations. The present paper discusses three prototypes developed for the user’s safety during the pandemic lifestyle. The modules offer alert and hygiene practices to helps users not to get affected by the Covid-19 Virus. The first module intended for user alerts to maintain social distance concerning nearest humans. The module prompts the buzzer if a person comes near within one-meter vicinity. The Second module is an automatic hand sanitiser dispenser for self-clean hands with disinfectant liquid. It uses IR sensors for hand proximity detection to trigger a pump to deliver sanitiser to the hands. The last module dispenses water into a glass. The sensors incorporated are ultrasound and IR sensors for glass detection, automatic water level and user water level control. These modules components, methodology and operation, are discussed. The cost-effective modules offer a long-standing performance with an Embedded board.

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Implementation of station vigilance using RF for railway passengers

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AIP Conference Proceedings 2023年第1期2523卷

作者： S. Mahaboob Basha A. Arun T. D. Subha V. Bhuvaneswari D. KalaiSelvi J. Navin Sankar 1Assistant Professor Department of Electronics and Communication Engineering R.M.K. Engineering College R.S.M Nagar Kavaraipettai Tamil Nadu India 2Assistant Professor Department of Computer Science and Engineering SRM Institute of Science and Technology SRM Nagar Kattankulathur Kanchipuram Chennai Tamil Nadu India 3Assistant Professor Department of Electronics and Communication Engineering R.M.K. Engineering College R.S.M Nagar Kavaraipettai Tamil Nadu India 4Assistant Professor Department of Electronics and Communication Engineering SRM Institute of Science and Technology City Campus Vadapalani Chennai Tamil Nadu India 5AP Department of Electronics and Instrumentation Engineering R.M.D. Engineering College R.S.M Nagar Kavaraipettai Tamil Nadu India 6Application Engineer Entuple Technologies Pvt Ltd Bangalore Karnataka India

The main aim of this work is to make the passengers to reach the station in the particular time. The microcontroller is used for prediction alert purpose. Nowadays frequently, during night time people are sleeping in trains and miss their destination station are occurred. Hence, the valuable time is absent. Therefore, using AT89C52 microcontroller, RF controller and RF receiver module the project was designed to avoid such mistakes to alert the passengers and to wake up at the correct station by getting vibration automatically. The objective of this project is to use 89C52 microcontroller to alert the passengers about the station which he/she want to reach mechanically, using RF modules. In front of, 5Km ahead of the station may have transmitter tag to transmit the zone computing by RF signals. A receiver module placed in the seat to get the zone information, by fixing a watch which is to be used to alert the passenger with small vibration to awake.

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