Pub Date : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758376
D. Shelar, P. G. Andhare, S. B. Gaikwad, P. A. Thakre
This study intended to develop a new and improved approach to solve completely Fully Fuzzy Linear Programming Problems(FFLPP) with Symmetric Trapezoidal Fuzzy Numbers(STFN) and findings results are compared with the results of existing methods. This article, first converted Fully Fuzzy LPP to the same Crisp Linear Programming Problem (LPP) by defuzzifying STFN. It is also proposed that it be presented an efficient and time-saving method. Finally of the paper, examples are shown in support of the results obtained.
{"title":"Modified Approach for Solving Fully Fuzzy Linear Programming Problems","authors":"D. Shelar, P. G. Andhare, S. B. Gaikwad, P. A. Thakre","doi":"10.1109/ESCI53509.2022.9758376","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758376","url":null,"abstract":"This study intended to develop a new and improved approach to solve completely Fully Fuzzy Linear Programming Problems(FFLPP) with Symmetric Trapezoidal Fuzzy Numbers(STFN) and findings results are compared with the results of existing methods. This article, first converted Fully Fuzzy LPP to the same Crisp Linear Programming Problem (LPP) by defuzzifying STFN. It is also proposed that it be presented an efficient and time-saving method. Finally of the paper, examples are shown in support of the results obtained.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131476685","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}
Pub Date : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758262
P. Wakhare, S. Neduncheliyan, Kshitij R. Thakur
Internet of Things (IoT) and Artificial Intelligence (AI) powered by 5G has opened new doors of technology and innovations in the field of agriculture. There is a vast scope of application and development of the above mentioned technologies to detect any shortcomings that may lead to heavy losses for farmer. This paper surveys the use of Internet of Things (IoT) to implement leaf detection on pomegranate plant. It also surveys the use of Artificial Intelligence (AI) to analyze the data collected from leaf detection and identify the diseases that may affect the pomegranate yield.
{"title":"Study of Disease Identification in Pomegranate Using Leaf Detection Technique","authors":"P. Wakhare, S. Neduncheliyan, Kshitij R. Thakur","doi":"10.1109/ESCI53509.2022.9758262","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758262","url":null,"abstract":"Internet of Things (IoT) and Artificial Intelligence (AI) powered by 5G has opened new doors of technology and innovations in the field of agriculture. There is a vast scope of application and development of the above mentioned technologies to detect any shortcomings that may lead to heavy losses for farmer. This paper surveys the use of Internet of Things (IoT) to implement leaf detection on pomegranate plant. It also surveys the use of Artificial Intelligence (AI) to analyze the data collected from leaf detection and identify the diseases that may affect the pomegranate yield.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133367331","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}
Pub Date : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758249
Shreyansh Shital Patil, Rahul B. Diwate, Anita Devkar, Ashutosh M. Kulkarni, Kishor Sadashiv Wagh
India is an agricultural country since olden times. Farming is the major occupation of the country with a variety of crops being grown throughout the country. Thus, factors such as diseases, pest's, other environmental factors can vastly affect the majority of people's livelihoods. Most of these diseases are easily detected through good knowledge of plants' leaves which if avoided on time can prevent heavy losses. This paper proposes a method to classify leaf diseases using the CNN model. Thus, in accord with to database provided leaf diseases can be classified. Every plant disease can be separately classified using the image of the leaf of a plant.
{"title":"Tri-Plant Leaf Disease for Bell Paper, Tomato and Potato Classification Using CNN","authors":"Shreyansh Shital Patil, Rahul B. Diwate, Anita Devkar, Ashutosh M. Kulkarni, Kishor Sadashiv Wagh","doi":"10.1109/ESCI53509.2022.9758249","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758249","url":null,"abstract":"India is an agricultural country since olden times. Farming is the major occupation of the country with a variety of crops being grown throughout the country. Thus, factors such as diseases, pest's, other environmental factors can vastly affect the majority of people's livelihoods. Most of these diseases are easily detected through good knowledge of plants' leaves which if avoided on time can prevent heavy losses. This paper proposes a method to classify leaf diseases using the CNN model. Thus, in accord with to database provided leaf diseases can be classified. Every plant disease can be separately classified using the image of the leaf of a plant.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129269329","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}
Augmented Reality (AR) is an immersive technology that provides a realistic and authentic teaching learning experience. It is clear that the today's generation favors technology-assisted learning over traditional learning. Although past research on AR has offered some light on how it can improve learning outcomes in different fields, studies on science experiment methods are still sparse. Experimental knowledge is essential for students to have a deeper grasp of the phenomena. The process of creating and developing a Smartphone app for a physics experiment employing AR technology is discussed in this article. This is an additional learning tool for upper secondary school. The ultimate goal of this mobile based AR app for Physics Experiment is to deliver meticulous knowledge in addition to traditional procedures and learning resources. A number of experiments have been chosen for inclusion in ElectroAR. To gauge feedback, an expert review is done. The user evaluation of ElectroAR in real classroom settings is something that will be done in the future.
{"title":"Analyzing the impact of Augmented Reality based Digital Environment on Students' Learning","authors":"S. Gargrish, Harun, Leeza Sharma, Bhanu Sharma, Neha Tuli, Manisha Pathania","doi":"10.1109/ESCI53509.2022.9758186","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758186","url":null,"abstract":"Augmented Reality (AR) is an immersive technology that provides a realistic and authentic teaching learning experience. It is clear that the today's generation favors technology-assisted learning over traditional learning. Although past research on AR has offered some light on how it can improve learning outcomes in different fields, studies on science experiment methods are still sparse. Experimental knowledge is essential for students to have a deeper grasp of the phenomena. The process of creating and developing a Smartphone app for a physics experiment employing AR technology is discussed in this article. This is an additional learning tool for upper secondary school. The ultimate goal of this mobile based AR app for Physics Experiment is to deliver meticulous knowledge in addition to traditional procedures and learning resources. A number of experiments have been chosen for inclusion in ElectroAR. To gauge feedback, an expert review is done. The user evaluation of ElectroAR in real classroom settings is something that will be done in the future.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129338361","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}
Pub Date : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758230
E. Priyanka, B. Adithya, S. Arun Prasanth, C. Dhanaseelan
Maintaining a very good pond is essential for developing healthful fish, attaining satisfactory production and enhancing way of life efficiency. Small-scale commercial farmers walking on small ponds couldn't have the funds to rent employees to monitor daily operations which normally includes monitoring basic parameters like water temperature, water levels, and feeding of fishes. Whereas large-scale enterprises normally have some sorts of automation for water monitoring and replacement. These entities ought to keep in mind using dissolved oxygen (DO) and pH sensing units to make sure the fitness and boom of fish, in the end as their farms grow. Our solution monitors different basic parameters like temperature, DO, pH, flow rate and level which are recorded then correlated with each other to find other factors like toxic ammonia, alkalinity etc. and suggest an optimized way of control. Unlike the existing system which is controlled by user using an app, our system will automictically adjusts when the parameter reaches the threshold rate and sends to user through notification. LDR is used to turn ON lights during night time so that phytoplankton can generate oxygen during night too if required. A website will be created to get clear insights about the parameters. Hence all these factors contribute to better yield and income.
{"title":"Integrated Low-Cost Intelligent Solution for Inland Aquaculture","authors":"E. Priyanka, B. Adithya, S. Arun Prasanth, C. Dhanaseelan","doi":"10.1109/ESCI53509.2022.9758230","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758230","url":null,"abstract":"Maintaining a very good pond is essential for developing healthful fish, attaining satisfactory production and enhancing way of life efficiency. Small-scale commercial farmers walking on small ponds couldn't have the funds to rent employees to monitor daily operations which normally includes monitoring basic parameters like water temperature, water levels, and feeding of fishes. Whereas large-scale enterprises normally have some sorts of automation for water monitoring and replacement. These entities ought to keep in mind using dissolved oxygen (DO) and pH sensing units to make sure the fitness and boom of fish, in the end as their farms grow. Our solution monitors different basic parameters like temperature, DO, pH, flow rate and level which are recorded then correlated with each other to find other factors like toxic ammonia, alkalinity etc. and suggest an optimized way of control. Unlike the existing system which is controlled by user using an app, our system will automictically adjusts when the parameter reaches the threshold rate and sends to user through notification. LDR is used to turn ON lights during night time so that phytoplankton can generate oxygen during night too if required. A website will be created to get clear insights about the parameters. Hence all these factors contribute to better yield and income.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122755927","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}
Pub Date : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758194
Swati K. Warungase, M. Bhatkar
The implementation of Distributed Generations (DGs) is increasing these days, and they are being utilized in distribution networks with the primary objective of improving system dependability. Also, any operational engineer may defend a power system, which is usually done through online security analysis, i.e. contingency analysis (CA). CA is a tool for analyzing the consequences of various outages like transformer, transmission lines, and other component failing. The Newton Raphson load flow method is used which is the finest load flow technique because it delivers correct results in less time, was used in this study to compute 5-bus system responses. Active power indices and voltage performance indices for single line outage on a five-bus system. Contingency Ranking has been done based on values of overall performance indices. Impact on bus voltage and active power flow has been analyzed before and after single line outages of most severe line contingency. Optimal placement of DGs has been done on ranked bus and line loss reduction has been evaluated. In MATLAB, the method's efficacy was evaluated on the IEEE-5 Bus system. This CA will be helpful to operating engineer for knowing which transmission line outage is severe to take the appropriate action which is risky in the system and with this earlier action can be taken to curtail the cause of breakdown of that specific line.
{"title":"Line Loss Reduction with Optimal Placement of DGs by using Contingency Analysis of 5 bus system","authors":"Swati K. Warungase, M. Bhatkar","doi":"10.1109/ESCI53509.2022.9758194","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758194","url":null,"abstract":"The implementation of Distributed Generations (DGs) is increasing these days, and they are being utilized in distribution networks with the primary objective of improving system dependability. Also, any operational engineer may defend a power system, which is usually done through online security analysis, i.e. contingency analysis (CA). CA is a tool for analyzing the consequences of various outages like transformer, transmission lines, and other component failing. The Newton Raphson load flow method is used which is the finest load flow technique because it delivers correct results in less time, was used in this study to compute 5-bus system responses. Active power indices and voltage performance indices for single line outage on a five-bus system. Contingency Ranking has been done based on values of overall performance indices. Impact on bus voltage and active power flow has been analyzed before and after single line outages of most severe line contingency. Optimal placement of DGs has been done on ranked bus and line loss reduction has been evaluated. In MATLAB, the method's efficacy was evaluated on the IEEE-5 Bus system. This CA will be helpful to operating engineer for knowing which transmission line outage is severe to take the appropriate action which is risky in the system and with this earlier action can be taken to curtail the cause of breakdown of that specific line.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117106064","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}
Pub Date : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758255
S. Patil, A. J. Patil
Exponentially increasing demand of bandwidth forcing the future wireless systems to have spectrum efficiency, cost reduction, service quality optimization, and transparent operation across wireless networks. Spectrum scarcity is alleviated by cognitive radio and promises to improve temporal spectral efficiency. The collaborative communication increases accuracy & throughput of CR. Further, Cooperative communication with smart antennas extends CR in both space and time. A CR based on smart antennas is both adaptable and non-intrusive, is being investigated in this paper. The suggested method utilizes beam forming to improve spectrum sharing between primary and cognitive users. Cognitive transmitters with SA are designed to minimize interference to the main receiver. Result shows successful transmission rate of CR user, thus improving spectrum utilization.
{"title":"Use Of Smart Antennas for Collaborative Spectrum Sensing in Cognitive Radio","authors":"S. Patil, A. J. Patil","doi":"10.1109/ESCI53509.2022.9758255","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758255","url":null,"abstract":"Exponentially increasing demand of bandwidth forcing the future wireless systems to have spectrum efficiency, cost reduction, service quality optimization, and transparent operation across wireless networks. Spectrum scarcity is alleviated by cognitive radio and promises to improve temporal spectral efficiency. The collaborative communication increases accuracy & throughput of CR. Further, Cooperative communication with smart antennas extends CR in both space and time. A CR based on smart antennas is both adaptable and non-intrusive, is being investigated in this paper. The suggested method utilizes beam forming to improve spectrum sharing between primary and cognitive users. Cognitive transmitters with SA are designed to minimize interference to the main receiver. Result shows successful transmission rate of CR user, thus improving spectrum utilization.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121837108","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}
Pub Date : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758340
T. Parbat, Honey Jain, Rohan S Benhal
Although the risk factors for diabetic retinopathy (DR) have been thoroughly investigated in previous studies, it is still unclear which risk factors are more closely associated with DR than others. The possibility that we will be able to differentiate the DR related hazard factors with more precision means that we will be able to conduct early avoidance strategies for diabetic retinopathy in the most at-risk populations. The purpose of this investigation is to investigate and analyse the many predictive mechanisms for diabetic retinopathy (DR) in diabetes mellitus using data mining approaches such as support vector machines, decision trees, artificial neural networks, and logistic regressions, among others.
{"title":"An Analytical Perspective for Diabetic Retinopathy Using Convolutional Neural Network","authors":"T. Parbat, Honey Jain, Rohan S Benhal","doi":"10.1109/ESCI53509.2022.9758340","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758340","url":null,"abstract":"Although the risk factors for diabetic retinopathy (DR) have been thoroughly investigated in previous studies, it is still unclear which risk factors are more closely associated with DR than others. The possibility that we will be able to differentiate the DR related hazard factors with more precision means that we will be able to conduct early avoidance strategies for diabetic retinopathy in the most at-risk populations. The purpose of this investigation is to investigate and analyse the many predictive mechanisms for diabetic retinopathy (DR) in diabetes mellitus using data mining approaches such as support vector machines, decision trees, artificial neural networks, and logistic regressions, among others.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121852272","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}
Pub Date : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758239
Shivani Wadhwa, Gagandeep
Nowadays, the decentralized and distributed nature of blockchain in IoT platforms is gaining lot of acceptance. PoW is the most commonly used consensus approach in blockchain. But energy requirements of consensus approaches is very high. Due to which the implementation of blockchain in IoT becomes very difficult. To solve the problem of resource constrained devices, we proposed modified consensus approach for non-cooperative IoT blockchain platform. Our scheme also works like PoW for specific period of time and checks for the count of leading zeroes given by block manager. IoT network is divided into regions and each region contains regional head for interaction with the block manager. Usecase of e-healthcare is also provided to explain the scenario of our scheme. Energy consumption, consensus time, and latency are the performance parameters taken into consideration.
{"title":"Lightweight Modified Consensus Approach in IoT Blockchain","authors":"Shivani Wadhwa, Gagandeep","doi":"10.1109/ESCI53509.2022.9758239","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758239","url":null,"abstract":"Nowadays, the decentralized and distributed nature of blockchain in IoT platforms is gaining lot of acceptance. PoW is the most commonly used consensus approach in blockchain. But energy requirements of consensus approaches is very high. Due to which the implementation of blockchain in IoT becomes very difficult. To solve the problem of resource constrained devices, we proposed modified consensus approach for non-cooperative IoT blockchain platform. Our scheme also works like PoW for specific period of time and checks for the count of leading zeroes given by block manager. IoT network is divided into regions and each region contains regional head for interaction with the block manager. Usecase of e-healthcare is also provided to explain the scenario of our scheme. Energy consumption, consensus time, and latency are the performance parameters taken into consideration.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130665474","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}
Pub Date : 2022-03-09DOI: 10.1109/ESCI53509.2022.9758223
S. Mazhar, D. Akila
A crucial trait of the dairy market is the accurate estimate of daily milk demand. Although several models have been using various data analytics over the past decades, but still fails to address this Problems in the Milk Forecast, and also these models were also not used for everyday practice. Milk yield projections of dairy farmers should be made on the basis of each cow and grade. The evaluation of big data is still difficult, considering the growing quantity of milk production information per year. The Prediction and Testing Platform is being introduced to solve dairies' supply chains and to assist dairy farmers. Data analyses are used by producers, in particular small-scale producers, for decision making on their milk availability, to establish a feasible and economical process. Previous work on yield prediction performed with decision tree, KNN classifiers etc. that gives 60-70% accurate results, which is still considered a lagging technology. In our proposed work we made use of logical regression Analysis (LAG) for predicting lactation period and Milk yield for different herd of cow. This method enables dairy farmers to use a range of statistical models to find details on milk production and predicting the potential milk yield at the level of the individual cow and the party. The logistic regression debate on the essence of the project is part of this article. This algorithm gives better prediction result on individual cow's lactation milk yield. This instrument shows how it is possible to use big data analytics in an affordable way.
{"title":"A Novel Framework to Perform Efficient Analysis of Animal Sciences Using Big Data","authors":"S. Mazhar, D. Akila","doi":"10.1109/ESCI53509.2022.9758223","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758223","url":null,"abstract":"A crucial trait of the dairy market is the accurate estimate of daily milk demand. Although several models have been using various data analytics over the past decades, but still fails to address this Problems in the Milk Forecast, and also these models were also not used for everyday practice. Milk yield projections of dairy farmers should be made on the basis of each cow and grade. The evaluation of big data is still difficult, considering the growing quantity of milk production information per year. The Prediction and Testing Platform is being introduced to solve dairies' supply chains and to assist dairy farmers. Data analyses are used by producers, in particular small-scale producers, for decision making on their milk availability, to establish a feasible and economical process. Previous work on yield prediction performed with decision tree, KNN classifiers etc. that gives 60-70% accurate results, which is still considered a lagging technology. In our proposed work we made use of logical regression Analysis (LAG) for predicting lactation period and Milk yield for different herd of cow. This method enables dairy farmers to use a range of statistical models to find details on milk production and predicting the potential milk yield at the level of the individual cow and the party. The logistic regression debate on the essence of the project is part of this article. This algorithm gives better prediction result on individual cow's lactation milk yield. This instrument shows how it is possible to use big data analytics in an affordable way.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128221976","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}
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