International Journal of Applied Engineering and Management Letters最新文献

{"title":"Causes and Effects of Design Change of Construction Projects","authors":"Ajay K. Mishra, P. Aithal","doi":"10.47992/ijaeml.2581.7000.0122","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0122","url":null,"abstract":"Purpose: Design is the mother of all construction as it is not only technical but also strategic process for competitiveness. In last decade, enormous bridge projects have been designed in Nepal but not all of them have been implemented. The causes of bridge design changes, and their effects on projects in terms of cost and time schedule is found to be complex and are influenced by numerous interrelated factors. This research focuses on the causes, effects and impacts of design change/reviews in bridge projects designed and constructed under Bridge Branch, Department of Roads (DoR). \u0000Design/Methodology/Approach: Five case studies were taken along with schedule questionnaire to contrast the causes, effects and impacts identified from questionnaire survey. The data obtained from the questionnaire were analyzed using the Relative Importance Index (RII) for finding the importance of each causes, effects, and impacts.\u0000Findings/Result: The design change was found to be done mostly in the foundation of the bridges. Sometime the redesign was done for change in scope and location of the bridge due mostly due to social and political interference and interest rather than value engineering. The Consultant was the main origin agent for design changes of bridge projects as they were the most responsible for the detail survey, soil investigation and design and estimate of the bridge whereas the client found to be second origin agent for design change due to lack of required data, change of plans or scope. The major causes for the bridge design change were Non-complaint design with site requirement, Errors in design, Differing site conditions, unforeseen problems and Inadequate working details. The top three common effects of design changes are time overrun, cost overrun and requirement of additional specialist/equipment/personnel. \u0000Originality/Value: It is basic research. This study helps in motivating and creating awareness among the design professionals working in design review which will create the influence to overcome issue of design change strategically.\u0000Paper Type: Ex-Post Facto Research","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116694318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Sustainable Finance on MSMEs and other Companies to Promote Green Growth and Sustainable Development","authors":"Mahesh K. M., P. Aithal, Sharma K. R. S.","doi":"10.47992/ijaeml.2581.7000.0120","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0120","url":null,"abstract":"Purpose: Sustainable Finance (SF) contributes to better development and better Finance for Economic growth. Sustainable development is protecting and restoring the ecological system. SIDBI, NITI Aayog, and World Bank facilitate Sustainable Finance to encourage businesses to grow from Small Medium Enterprises to large Industries to make an enormous global impact. As per the World Bank estimate, adversely affect the standard of living of the population and climate change will reduce India’s GDP by nearly 3%. For tracking the climate protection performance of the country, the CCPI tool is used. The Key sustainable finance providers to companies and MSME’s are Banks, Corporations, International Financial Institutions, Institutional Investors, International organizations through Financial Instruments Climate Funds, Green Bonds, Impact Finance, Social bonds, Microfinance, SIDBI Sustainable Finance Scheme for funding, NABARD, and Make in India. MSMEs, and SMEs involved in the Projects Solar Power Plants, renewable energy, Green Machinery, Waste Management, Electric Vehicles (EV), Clean Energy, Recycle, Poverty alleviations, and Energy conservation, and India is committed to achieving Net Zero Emissions by 2070. During the Climate summit in Glasgow, India accepted for Five –Point climate ‘panchamrit, or pledge’ towards climate change and Climate Finance. As per the Environment ministry. India needs $280 billion for green infrastructure and the government of India proposed the creation of a Social Stock Exchange, Europe Investment Bank (EIB) with SBI. RBI has considered Green and Sustainable projects should be put under Priority Sector Lending (PSL) to support GE (Green Economy) growth and to meet the SDG (Sustainable Development Goals) and ESG (Economic, Social, Environment) guidelines for fundraising.\u0000Methodology / Design /Approaches: In this article theoretical concepts are used in the analysis of various financing Mechanics for green production and Sustainable development.\u0000Findings and results: The effectiveness of sustainable finance or Climate finance required for MSME and Companies for greener production infrastructure and government of India missions on climate Change, Regular to boost the ESG to promote sustainable development and Economic growth.\u0000Originality/value: Analysed the various articles and case studies and prepared the model required for sustainable fiancé for green growth in India.\u0000Type of Paper: Research Analysis","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122989331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Literature Review and Research Agenda on Explainable Artificial Intelligence (XAI)","authors":"Krishna Prakash Kalyanathaya, K. K","doi":"10.47992/ijaeml.2581.7000.0119","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0119","url":null,"abstract":"Purpose: When Artificial Intelligence is penetrating every walk of our affairs and business, we face enormous challenges and opportunities to adopt this revolution. Machine learning models are used to make the important decisions in critical areas such as medical diagnosis, financial transactions. We need to know how they make decisions to trust the systems powered by these models. However, there are challenges in this area of explaining predictions or decisions made by machine learning model. Ensembles like Random Forest, Deep learning algorithms make the matter worst in terms of explaining the outcomes of decision even though these models produce more accurate results. We cannot accept the black box nature of AI models as we encounter the consequences of those decisions. In this paper, we would like to open this Pandora box and review the current challenges and opportunities to explain the decisions or outcome of AI model. There has been lot of debate on this topic with headlines as Explainable Artificial Intelligence (XAI), Interpreting ML models, Explainable ML models etc. This paper does the literature review of latest findings and surveys published in various reputed journals and publications. Towards the end, we try to bring some open research agenda in these findings and future directions.\u0000Methodology: The literature survey on the chosen topic has been exhaustively covered to include fundamental concepts of the research topic. Journals from multiple secondary data sources such as books and research papers published in various reputable publications which are relevant for the work were chosen in the methodology.\u0000Findings/Result: While there are no single approaches currently solve the explainable ML model challenges, some model algorithms such as Decision Trees, KNN algorithm provides built in interpretations. However there is no common approach and they cannot be used in all the problems. Developing model specific interpretations will be complex and difficult for the user to make them adopt. Model specific explanations may lead to multiple explanations on same predictions which will lead to ambiguity of the outcome. In this paper, we have conceptualized a common approach to build explainable models that may fulfill current challenges of XAI.\u0000Originality: After the literature review, the knowledge gathered in the form of findings were used to model a theoretical framework for the research topic. Then concerted effort was made to develop a conceptual model to support the future research work.\u0000Paper Type: Literature Review.","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128104819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Simulated 3D Printer in CoppeliaSim","authors":"Sudipto Chakraborty, P. Aithal","doi":"10.47992/ijaeml.2581.7000.0117","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0117","url":null,"abstract":"Purpose: Now, 3D Printer is becoming popular. Not only used for printing toys but also to print some needful items for prototyping. We go for final production after prototype approval. So the researcher needs a 3D printer for their research. A good 3D printer is not only costly but cumbersome also. Carrying a 3D printer is too much problem. We can use the simulator to continue our research work in this scenario. Here we provide the procedure for building a 3D printer in the simulator. We used Coppeliasim to make it. It is an excellent open-source simulator. It has a good user interface. Following the step, the researcher can build it quickly. All project code and simulator files are available for the researcher in Github. They can download, use and integrate into their project without any issues.\u0000Design/Methodology/Approach: In the CoppeliaSim simulator, we created a 3D printer model. We adopted the Ender 3D printer specification, a popular and economical 3D printer. After completing the model, we add the LUA script associated with the base. Some code is kept as a module inside the project folder for better understanding. After running the simulation, it will draw a square on the work area for the working demonstration.\u0000Findings/Result: We can create a virtual 3D printer through this research work. So without having an actual printer, we can test our written algorithm, try the 3D model file, and understand the functionality of the 3D Printer. It can be integrated into the researcher’s project by customizing some physical parameters or making a different 3D printer model following the procedure described here.\u0000Originality/Value: This research work may add value to the researcher’s work. We provide the information on creating a workable 3D printer as simple as possible in the CoppeliaSim robot simulator. Customizing some physical parameters can be a tool to help the research work rapidly.\u0000Paper Type: Simulation-based Research.","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134591876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ICT and Digital Technology based Solutions for Smart City Challenges and Opportunities","authors":"Dipak S. Gade, P. Aithal","doi":"10.47992/ijaeml.2581.7000.0116","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0116","url":null,"abstract":"Purpose: Today's Smart Cities are rapidly evolving with the help of the latest tools and technologies and also due to large investment and priority focus by various countries across the globe. Smart Cities while growing also consider the environmental aspects such as producing lower carbon footprint, lower harmful gas emissions, and lower consumption of power. Abiding by this new paradigm, various Smart Cities started focusing on continuous improvement and innovation in their different services. Many Smart Cities have their own pain points such as traffic congestion, water scarcity, energy deficiency, waste management, poor participation of citizens in city administration, maintenance of complex IT Infrastructure, and so on. Such kind of issues may differ in scale and type but mostly common across geographies. While developing, operating, and maintaining Smart Cities, it is necessary to identify the most pressing and urgent issues that Smart City solutions must tackle on priority. In such cases, high-end technologies and tools can help to focus and eliminate the problems. In this paper, we analysed key challenges faced by Smart Cities during the development, operation, and maintenance related activities of various Smart Services and how these challenges and issues are effectively addressed by some of the key technologies with special attention to ICT and digital technologies. We have also reviewed some selected research papers devoted to Smart Cities challenges ad issues and how these issues are addressed using the latest tools and technologies. Finally, we have also specified the future plans about the discussed technical solutions to undertake its full-fledged implementation and addressing of its some of the limitations. \u0000Design/Methodology/Approach: This paper is based on the primary data collected while preparing research papers written by us on Smart Cities and a systematic literature review of existing literature including journal research papers, book chapters, dedicated websites, and white papers. \u0000Findings/Result: Smart Cities various operational and development challenges are effectively get addressed using various ICT and digital technologies. Some of the key technologies that played an important role in addressing some of the key concerns of Smart Cities include IoT, AI and ML, Blockchain, Data Analytics, Digital Twin, 5G, and Cloud Computing. \u0000Originality/Value: The Information presented in this paper is genuine and original and based on own research, data collected from industry professionals, systematic literature review of existing relevant research papers, and relevant data analysis and findings. Most of the information presented in this paper is derived from our own research papers written on Smart City services and solutions. \u0000Paper Type: Technology oriented Research","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133096815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Literature Review on Benefits, Opportunities, Challenges, Prospects of Online Teaching in Higher Education","authors":"Hegde Lata Narayan, Shailashri V. T.","doi":"10.47992/ijaeml.2581.7000.0115","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0115","url":null,"abstract":"Purpose: An analysis of literature review on benefits, opportunities, challenges, prospects of online teaching in higher education gives an insight into various factors leading to the effective implementation of online teaching in higher education institution. An honest attempt is made for enabling the teachers to understand these factors for adopting online teaching in higher education institutions.\u0000Design/Methodology/Approach: This study is a qualitative literature review, which is based on secondary data. This data is collected from various websites, journals, research papers, articles, several surveys, and reports. \u0000Findings/Results: Based on detailed analysis of literature review, assisted in finding out research gap and prospective research proposal which will help in the formulation of the future research study in the area of online teaching in higher education.\u0000Originality/Value: This paper analyses and identifies the research gap after a detailed analysis of the literature review. Based on the research gap, specifies the research proposal for further study.\u0000Paper Type: A literature review on benefits, opportunities, challenges, prospects of online teaching in Higher Education.","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125992311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accelerating the Race to Autonomous Cars – A Case Study","authors":"D. Kumari, S. Bhat","doi":"10.47992/ijaeml.2581.7000.0114","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0114","url":null,"abstract":"Background/Purpose: Every automaker is racing to generate self-driving innovations and some slew of fantastic tech firms and start-ups doing the same. The vehicle industry has a long history of implementing cutting-edge technologies to bring efficient, creative, and reliable vehicles to market, all while working to reduce production costs. Such innovations involve machine learning and computational intelligence, which are essential to automobiles progress. Machine learning (AI) technologies have made the innovative concept of self-driving vehicles an actuality. Today, global automotive rulers such as BMW, Volvo, and Tesla use intelligent automation to enhance production, raise production efficiency, and actually drive secure, extra relaxed, expanding, and increasingly enjoyable. This article provides a comprehensive analysis of Companies in the development of Autonomous vehicles and used ABCD analysis to examine the key parameters.\u0000Objective: Analyses the technology and business strategies of the companies in the Race of Autonomous cars.\u0000Design/Methodology/Approach: The information for this case study were gathered from various scholarly articles and websites.\u0000Findings/Result: The technological details of Artificial Intelligence, Self-driving car companies, laws and restrictions of different companies for using Self-driving vehicles, Autopilot driving features, sales volume and financial expansion, Impact of COIVID-19 on Autonomous vehicles business are studied. The impacts of COVID-19 on the autonomous car business are analysed using the ABCD framework.\u0000Originality/Value: The result provides a brief overview of different self-driving vehicle companies and self-driving technology building companies in the competitive race.\u0000Paper type: A Research Case study paper - focuses on companies in a race of producing Autonomous vehicles and the growth of those companies.","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131001812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of Artificial Intelligence in Tesla- A Case Study","authors":"D. Kumari, S. Bhat","doi":"10.47992/ijaeml.2581.7000.0113","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0113","url":null,"abstract":"Background/Purpose: Artificial intelligence algorithms are like humans, performing a task repeatedly, each time changing it slightly to maximize the result. A neural network is made up of several deep layers that allow for learning. Financial services, ICT, life science, oil and gas, retail, automotive, industrial healthcare, and chemicals and manufacturing sectors are among the industries that employ these algorithms. The electric motor is a new concept, and the automobile industry is now undergoing intensive research to determine whether it is practicable and financially viable. There are already some first movers, such as Tesla, who have successfully established their model and are moving forward. Tesla is forcing the auto industry to adapt quickly. Tesla introduced Autopilot driver capability for its Model S vehicle. Tesla Autopilot is a suite of sophisticated driver-assist technologies that include traffic adjustment, congested roads navigation system, autopilot car-parks, computer-controlled road rules, semi-autonomous route planning on major roadways, and the ability to summon the vehicle out of a designated car-park. This article provides a comprehensive analysis of Tesla Company and Innovations of Autopilot Vehicles.\u0000Objective: This case study report addresses the growth of Tesla Company in the field of Autonomous Vehicles.\u0000Design/Methodology/Approach: The knowledge for this case study of Tesla was gathered from various academic articles, online articles, and the SWOT framework.\u0000Findings/Result: Based on the research, this paper discusses the technological histories, Autopilot driving features, safety concerns, financial plans, market challenges, different models, and how Tesla Inc. is accelerating the world's movement in multiple initiatives such as the contribution of the global economic system, study in the Artificial Intelligence and Machine Learning area.\u0000Originality/Value: This paper study provides a brief overview of Tesla Inc. given the various data collected, and information about Tesla Autopilot vehicles using Artificial Intelligence based Innovations in Entrepreneurial Oriented Cars.\u0000Paper type: A Research Case study paper - focuses on Application of Artificial Intelligence in Tesla Autopilot Vehicles and growth & Journey of the Tesla Inc. Company.","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131900825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Terminal++ for Robot Researcher Using C#","authors":"Sudipto Chakraborty, P. Aithal","doi":"10.47992/ijaeml.2581.7000.0111","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0111","url":null,"abstract":"Purpose: Sometimes our robot researcher needs a terminal program to exchange the data with the robot or automation device. Nevertheless, the readily available terminal program lacks some functionality that is most relevant to the researcher. We feel that a featured rich terminal program can handle lots of communication overhead for the researcher and relieve them from repetitive and time-consuming tasks. In mind for this, we researched and developed a utility program. We added extra features like automatic send, change dynamic data, etc., so our robot researcher can test the system communication better. In this paper, we demonstrated the utility program in detail. It is built using C#, which is under the Microsoft dot net framework. The code is uploaded to GitHub. Anyone can download and use it. It can be customized for their need. All used classes are available in .cs format.\u0000Design/Methodology/Approach: This is the software utility program built by the dot net framework of Microsoft visual studio. It has a graphical user interface (GUI) and some object classes. It has a serial and ethernet interface to test the channel. Once the medium is selected, the application will send whatever is written in the input text box. The Data sending may be an automatic or manual process. In manual mode, after typing the command, we need to press the “Enter” key to send the data. In automatic mode, it will send automatically within the preset interval. The transmit and receive content is displayed inside the list box.\u0000Findings/results: sometimes, our project goes into a critical phase. We need to have good tools to overcome the situation immediately. This is a helpful tool to trace the communication-related issue. Using this tool, we can observe the outgoing and incoming data traffic. The robot researcher can use it for their communication-related debug purposes. \u0000Originality/Value: Using this terminal program, our robot researcher will get lots of benefits where readily available utility programs cannot provide them. It has some unique features like automatic sending, changing dynamic content, etc. It has a serial and ethernet interface channel so that most of the device communication can be debugged through this interface software. It is entirely free and open source. Anyone can download and use it for personal as well as commercial purposes. \u0000Paper Type: Experiment-based Research.","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"326 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133472592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Literature Review of the Detection and Categorization of various Arecanut Diseases using Image Processing and Machine Learning Approaches","authors":"Puneeth B. R., Nethravathi P. S.","doi":"10.47992/ijaeml.2581.7000.0112","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0112","url":null,"abstract":"Background/Purpose: Every scholarly research project starts with a survey of the literature, which acts as a springboard for new ideas. The purpose of this literature review is to become familiar with the study domain and to assess the work's credibility. It also improves with the subject's integration and summary. This article briefly discusses the detection of disease and classification to achieve the objectives of the study.\u0000Objective: The main objective of this literature survey is to explore the different techniques applied to identify and classify the various diseases on arecanut. This paper also recommends the methodology and techniques that can be used to achieve the objectives of the study.\u0000Design/Methodology/Approach: Multiple data sources, such as journals, conference proceedings, books, and research papers published in reputable journals, were used to compile the essential literature on the chosen topic and collect information from the arecanuts research centre and many farmers in the south Canara and Udupi districts, before narrowing down the literature that is relevant to the research work. The shortlisted literature was carefully assessed by reading each paper and taking notes as appropriate. The information gathered is then examined to identify the potential gap in the study.\u0000Findings/Result: Based on the analysis of the papers reviewed, discussion with farmers and research center officers, it is observed that, not much work is carried out in the field of disease identification and classification on arecanut using machine learning techniques. This survey paper recommends techniques and the methodology that can be applied to identify and classify the diseases in arecanut and to classify them in to healthy and unhealthy.\u0000Research limitations/implications: The literature review mentioned in this paper are detection and classification of different diseases in arecanut.\u0000Originality/Value: This paper focuses on various online research journals, conference papers, technical books, and web articles.\u0000Paper Type: Literature review paper on techniques and methods used to achieve the objectives.","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121982037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}