Pub Date : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452986
G. R, S. Singh, Deepam Dubey
Instrumentation amplifier are the critical components used for monitoring body signals in bio-potential instruments like ECG, EMG, and EEG in order to diagnose patient issues. The most significant bio-potential amplifier is the instrumentation amplifier which is used to amplify tiny differential input signals. As a result, the instrumentation amplifier amplifies even the small body signals. Henceforth, the main objective of this study is to design an instrumentation amplifier with improved characteristics operating at 350mv low voltage and 1nA low current. Also, this paper designs the instrumentation amplifier by using folded cascode two stage op-amp for attaining a maximum gain.
{"title":"Design of an Instrumentation Amplifier using Bulk-Driven Op-Amp","authors":"G. R, S. Singh, Deepam Dubey","doi":"10.1109/ICOEI51242.2021.9452986","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452986","url":null,"abstract":"Instrumentation amplifier are the critical components used for monitoring body signals in bio-potential instruments like ECG, EMG, and EEG in order to diagnose patient issues. The most significant bio-potential amplifier is the instrumentation amplifier which is used to amplify tiny differential input signals. As a result, the instrumentation amplifier amplifies even the small body signals. Henceforth, the main objective of this study is to design an instrumentation amplifier with improved characteristics operating at 350mv low voltage and 1nA low current. Also, this paper designs the instrumentation amplifier by using folded cascode two stage op-amp for attaining a maximum gain.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121796269","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452893
Lujian Huang
Cities are the center of political, economic, scientific and cultural development of human society, the base of creating public wealth, and the breeding ground of environmental pollution, traffic congestion, social security and other problems. Global problems such as ecology, energy shortage, resource waste, environmental pollution and population growth are becoming increasingly prominent. Relevant statistics show that the trend of sub-health state has been obvious in urban development in China. Smart city is the product of the advanced stage of social and economic development, and people's beautiful vision of smart city is gradually rooted in people's hearts. The construction and development of smart cities will become the general trend of the development of global cities, and change the production of cities and the way of human life in the future. Smart cities have become an inevitable trend of global development. Urbanization has brought great opportunities to the development of smart cities, and at the same time, it has also brought about various problems of sharp contradictions.
{"title":"Research on Smart City and Information Security in Digital Economy Era","authors":"Lujian Huang","doi":"10.1109/ICOEI51242.2021.9452893","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452893","url":null,"abstract":"Cities are the center of political, economic, scientific and cultural development of human society, the base of creating public wealth, and the breeding ground of environmental pollution, traffic congestion, social security and other problems. Global problems such as ecology, energy shortage, resource waste, environmental pollution and population growth are becoming increasingly prominent. Relevant statistics show that the trend of sub-health state has been obvious in urban development in China. Smart city is the product of the advanced stage of social and economic development, and people's beautiful vision of smart city is gradually rooted in people's hearts. The construction and development of smart cities will become the general trend of the development of global cities, and change the production of cities and the way of human life in the future. Smart cities have become an inevitable trend of global development. Urbanization has brought great opportunities to the development of smart cities, and at the same time, it has also brought about various problems of sharp contradictions.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116972802","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9453051
Ashi Ashok, Devi Vijayan, L. R
One of the dangerous threats, that affect women all around the globe is breast cancer, leading to early mortality in women. According to researchers the survival rate of the breast cancer affected person can be improved by a greater amount by its early detection. Hence, there is need for development of an automated system, which can act as an aid for supporting the radiologists in making proper diagnostic decision. The proposed work involves detection of the breast masses by making use of an optimized region growing method, in which the optimal seed point selection and optimal threshold generation was achieved using Grey Wolf Optimization (GWO). In the proposed work the extraction of both global and local features are being considered. The global features considered includes shape features, Grey Level Co-occurrence Matrix (GLCM) and Grey Level Run Length Matrix (GLRLM) for extracting texture feature and local texture feature is extracted using Local Binary Pattern (LBP) and Scale invariant feature transform (SIFT). The fusion of the local and global features were being fed to Support Vector Machine (SVM) classifier, which differentiates the masses as either benign or malignant in nature. The proposed methodology achieved a highest accuracy of 96% by the fusion of global texture feature GLCM and LBP.
{"title":"Computer aided mass segmentation in mammogram images using Grey wolf Optimized Region growing technique","authors":"Ashi Ashok, Devi Vijayan, L. R","doi":"10.1109/ICOEI51242.2021.9453051","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9453051","url":null,"abstract":"One of the dangerous threats, that affect women all around the globe is breast cancer, leading to early mortality in women. According to researchers the survival rate of the breast cancer affected person can be improved by a greater amount by its early detection. Hence, there is need for development of an automated system, which can act as an aid for supporting the radiologists in making proper diagnostic decision. The proposed work involves detection of the breast masses by making use of an optimized region growing method, in which the optimal seed point selection and optimal threshold generation was achieved using Grey Wolf Optimization (GWO). In the proposed work the extraction of both global and local features are being considered. The global features considered includes shape features, Grey Level Co-occurrence Matrix (GLCM) and Grey Level Run Length Matrix (GLRLM) for extracting texture feature and local texture feature is extracted using Local Binary Pattern (LBP) and Scale invariant feature transform (SIFT). The fusion of the local and global features were being fed to Support Vector Machine (SVM) classifier, which differentiates the masses as either benign or malignant in nature. The proposed methodology achieved a highest accuracy of 96% by the fusion of global texture feature GLCM and LBP.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116988340","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}
The gait analysis is systematic study that aims to specifically study the human motion. Therefore Gait analysis is successfully performed for performing pose estimation. This paper aims to summarize the research the gait analysis performed for doing human pose estimation, verifying if it can support medical or clinical evaluation. The paper talks about different methods, activity, parameters, limitations and datasets involved while doing pose estimation using gait analysis and methods which were accurate and better in every perspective. Several approaches show success of gait techniques for detecting disorders i.e used for clinical purpose and also used for solving several criminal cases. Further research is, however, the need of the hour into this field.
{"title":"Review on Gait Analysis using Pose Estimation","authors":"Dimple Sethi, Taniya Sharma, Parul Sehrawat, Himanshi, Aditi Mohanty","doi":"10.1109/ICOEI51242.2021.9453038","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9453038","url":null,"abstract":"The gait analysis is systematic study that aims to specifically study the human motion. Therefore Gait analysis is successfully performed for performing pose estimation. This paper aims to summarize the research the gait analysis performed for doing human pose estimation, verifying if it can support medical or clinical evaluation. The paper talks about different methods, activity, parameters, limitations and datasets involved while doing pose estimation using gait analysis and methods which were accurate and better in every perspective. Several approaches show success of gait techniques for detecting disorders i.e used for clinical purpose and also used for solving several criminal cases. Further research is, however, the need of the hour into this field.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121332643","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452745
Kavya Garlapati, N. Kota, Yasaswini Swarna Mondreti, Preethi Gutha, Aswathy K. Nair
COVID 19 disease rooted in China, spread across other parts of the world and became a devastating pandemic. The detection of COVID-19 has become a crucial task in the medical sector because of the soaring cases and the paucity of pharmaceutical supplies for detection. Considering the urgency, an immediate auxiliary automatic detection system is required for early diagnosis of the disease and helps the affected patients to be under immediate care. In this work, we aimed to propose an automatic detection system based on lung X-ray images, as radiography modalities is a promising way of faster diagnosis. In this work, we built a machine learning model considering X-ray images taken from publicly available data sets of 2000 images. The relevant features from the images were taken for building the model, prior that proper segmentation was applied to the X-ray images. The X-ray images are prone to noise and spatial aliasing which leads the boundary to be indistinguishable, so proper image segmentation is required Comprehensive validation has been performed on different segmentation techniques, among those, Sobel demonstrated an accurate result, which is not only effective in detecting edges but also good in removing noises within the image. Further, the preprocessed image is fed to a support vector machine (SVM) model, which accomplished the maximum classification accuracy of 99.17%, also SVM achieved precision, recall, and F1 score of 99.24%,98.13%,98.68% respectively in predicting the COVID-19 versus other pulmonary diseases. Taking the advantage. the model can be helpful to medical persons that can be used as an initial screening of individuals.
{"title":"Detection of COVID-19 Using X-ray Image Classification","authors":"Kavya Garlapati, N. Kota, Yasaswini Swarna Mondreti, Preethi Gutha, Aswathy K. Nair","doi":"10.1109/ICOEI51242.2021.9452745","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452745","url":null,"abstract":"COVID 19 disease rooted in China, spread across other parts of the world and became a devastating pandemic. The detection of COVID-19 has become a crucial task in the medical sector because of the soaring cases and the paucity of pharmaceutical supplies for detection. Considering the urgency, an immediate auxiliary automatic detection system is required for early diagnosis of the disease and helps the affected patients to be under immediate care. In this work, we aimed to propose an automatic detection system based on lung X-ray images, as radiography modalities is a promising way of faster diagnosis. In this work, we built a machine learning model considering X-ray images taken from publicly available data sets of 2000 images. The relevant features from the images were taken for building the model, prior that proper segmentation was applied to the X-ray images. The X-ray images are prone to noise and spatial aliasing which leads the boundary to be indistinguishable, so proper image segmentation is required Comprehensive validation has been performed on different segmentation techniques, among those, Sobel demonstrated an accurate result, which is not only effective in detecting edges but also good in removing noises within the image. Further, the preprocessed image is fed to a support vector machine (SVM) model, which accomplished the maximum classification accuracy of 99.17%, also SVM achieved precision, recall, and F1 score of 99.24%,98.13%,98.68% respectively in predicting the COVID-19 versus other pulmonary diseases. Taking the advantage. the model can be helpful to medical persons that can be used as an initial screening of individuals.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127116263","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9453009
Supriyo Banerjee, B. Maiti, Banani Saha
This paper has developed a quantum authentication protocol along with the encryption encapsulation by entangled photon states that are forwarded from a trusted server to two users. It is shown to provide second tier security against impersonation and eavesdropping but with the ease of decryption limited only for two legitimate users. In this process, qutrit photon states are used to identity encryption and a one-way-function containing the phase information of the trits is used for basis selection. The protocol is analyzed to test different eavesdropping strategies and is found to provide unconditional security.
{"title":"On Assisted Quantum Key Authentication Protocol","authors":"Supriyo Banerjee, B. Maiti, Banani Saha","doi":"10.1109/ICOEI51242.2021.9453009","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9453009","url":null,"abstract":"This paper has developed a quantum authentication protocol along with the encryption encapsulation by entangled photon states that are forwarded from a trusted server to two users. It is shown to provide second tier security against impersonation and eavesdropping but with the ease of decryption limited only for two legitimate users. In this process, qutrit photon states are used to identity encryption and a one-way-function containing the phase information of the trits is used for basis selection. The protocol is analyzed to test different eavesdropping strategies and is found to provide unconditional security.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125097358","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452989
R. Agrawal, S. Dorle, Chetan Dhule, Urvashi Agrawal
Blockchain technology has become increasingly popular as the internet of things (IoT) has grown in popularity. Over NDN(Named Data Networking), blockchain provides an innovative technique to preserve reliable records without relying on a community blockchain machine. A decentralized network and data management has been established throughout the community by utilizing blockchain is proposed in this paper. Moreover, this research work has developed a trust model to enhance the trustworthiness of messages by relying on the popularity of the sender based on parallel mining. Blockchain has been determined as growing generation for establishing decentralized and transactional information sharing throughout a big community of untrusted people. It permits the advent of decentralized surroundings, in which transaction and data below the manipulation of any one third of the party organization. Some transactions are always completed in a public account in a checkable, visible, and permanent manner, accompanied by a stamp and other data. The work gives the comparative analysis on serial mining and parallel mining of data by using blockchain. Also in the study, it is proven that, parallel mining outperforms well when compared to the serial mining of data.
{"title":"Effective Network Communication Based on Blockchain Based Trusted Networks","authors":"R. Agrawal, S. Dorle, Chetan Dhule, Urvashi Agrawal","doi":"10.1109/ICOEI51242.2021.9452989","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452989","url":null,"abstract":"Blockchain technology has become increasingly popular as the internet of things (IoT) has grown in popularity. Over NDN(Named Data Networking), blockchain provides an innovative technique to preserve reliable records without relying on a community blockchain machine. A decentralized network and data management has been established throughout the community by utilizing blockchain is proposed in this paper. Moreover, this research work has developed a trust model to enhance the trustworthiness of messages by relying on the popularity of the sender based on parallel mining. Blockchain has been determined as growing generation for establishing decentralized and transactional information sharing throughout a big community of untrusted people. It permits the advent of decentralized surroundings, in which transaction and data below the manipulation of any one third of the party organization. Some transactions are always completed in a public account in a checkable, visible, and permanent manner, accompanied by a stamp and other data. The work gives the comparative analysis on serial mining and parallel mining of data by using blockchain. Also in the study, it is proven that, parallel mining outperforms well when compared to the serial mining of data.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126043250","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9453031
Jyotisha Azad, V. Kanwar, Ashok Kumar
In WSN, Localization of node plays significant role. Localization is applied to obtain the location of node. Without the knowledge of exact location of node, information collected from this particular node is not much useful. There are various techniques of Localization of nodes in WSN like Range-based and Range-free. In range-based technique extra hardwares required which make it costly but range free required comparatively less hardware. So, we prefer range free localization. Most commonly used range free algorithm is DV-Hop localization algorithm, which is used to evaluate the position of nodes using distance vector method. The proposed research work has analysed the effect of different network topology on the performance of localization algorithm using optimization (like PSO). Here, the simulation has been performed by using MATLAB and comprehensive study on the network topology of different shapes like square-shaped, C-shaped, O-shaped topology has also been performed. The proposed simulation result shows that, the comparison between these different shaped network topology's localization error and its variance.
{"title":"Effect of Network Topologies on Localization using DV-Hop based PSO Algorithm","authors":"Jyotisha Azad, V. Kanwar, Ashok Kumar","doi":"10.1109/ICOEI51242.2021.9453031","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9453031","url":null,"abstract":"In WSN, Localization of node plays significant role. Localization is applied to obtain the location of node. Without the knowledge of exact location of node, information collected from this particular node is not much useful. There are various techniques of Localization of nodes in WSN like Range-based and Range-free. In range-based technique extra hardwares required which make it costly but range free required comparatively less hardware. So, we prefer range free localization. Most commonly used range free algorithm is DV-Hop localization algorithm, which is used to evaluate the position of nodes using distance vector method. The proposed research work has analysed the effect of different network topology on the performance of localization algorithm using optimization (like PSO). Here, the simulation has been performed by using MATLAB and comprehensive study on the network topology of different shapes like square-shaped, C-shaped, O-shaped topology has also been performed. The proposed simulation result shows that, the comparison between these different shaped network topology's localization error and its variance.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126130127","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452886
J. Pravin, A. Anumanjari, T. Pandimeena, J. S. Fathima
This work focuses on the effects caused by a Cobalt material over the DC characteristics of a proposed Zinc Oxide (ZnO) based Thin Film Transistor (TFT). An analysis is performed into the variation in drain current of the proposed device upon placement of the Cobalt material. By examining the IV characteristics of the device, the deviation in drain current upon placement of a toxic material such as Cobalt has been clearly analyzed and produced a better performance than the conventional MOSFET device. By varying the thickness of the oxide layer SiO2 dielectric, the drain current is analyzed at various ranges. A maximum drain current of 1.05 µA was attained for the proposed device with channel length of 7 µm. The device upon impact of the Cobalt material produced about 40 % enhanced drain current values than the conventional Silicon MOSFET. The higher IV characteristics signified the device's applicability in sensing toxic materials in food.
{"title":"Evaluation of DC Characteristics for a Zinc Oxide (ZnO) based Thin Film Transistor by influence of a Cobalt material","authors":"J. Pravin, A. Anumanjari, T. Pandimeena, J. S. Fathima","doi":"10.1109/ICOEI51242.2021.9452886","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452886","url":null,"abstract":"This work focuses on the effects caused by a Cobalt material over the DC characteristics of a proposed Zinc Oxide (ZnO) based Thin Film Transistor (TFT). An analysis is performed into the variation in drain current of the proposed device upon placement of the Cobalt material. By examining the IV characteristics of the device, the deviation in drain current upon placement of a toxic material such as Cobalt has been clearly analyzed and produced a better performance than the conventional MOSFET device. By varying the thickness of the oxide layer SiO2 dielectric, the drain current is analyzed at various ranges. A maximum drain current of 1.05 µA was attained for the proposed device with channel length of 7 µm. The device upon impact of the Cobalt material produced about 40 % enhanced drain current values than the conventional Silicon MOSFET. The higher IV characteristics signified the device's applicability in sensing toxic materials in food.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114913740","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452883
Gowtham Kishore Indukuri, Vedha Krishna Yarasuri, Aswathy K. Nair
Agriculture is an important sector for self-sustainability and plays a major role in a nation's economy and growth. Lack of timely identification of plant disease may result in huge loss in yield and in the economy. The objective of the research work is to support a large community of farmers particularly involved in paddy farming to understand and predict the disease affected to the crop. This research work demonstrates the robustness of classifying the paddy leaf disease using deep neural networks. Pre-processing techniques such as data augmentation and median filter have been applied to the dataset to avoid overfitting and to improve the model performance and accuracy. A model has been generated and analyzed its performance using deep learning approach. Also, the feature extracted, and preprocessed data set was fed to several models and analyzed their performance using various accuracy metrics.
{"title":"Paddy Disease Classifier using Deep learning Techniques","authors":"Gowtham Kishore Indukuri, Vedha Krishna Yarasuri, Aswathy K. Nair","doi":"10.1109/ICOEI51242.2021.9452883","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452883","url":null,"abstract":"Agriculture is an important sector for self-sustainability and plays a major role in a nation's economy and growth. Lack of timely identification of plant disease may result in huge loss in yield and in the economy. The objective of the research work is to support a large community of farmers particularly involved in paddy farming to understand and predict the disease affected to the crop. This research work demonstrates the robustness of classifying the paddy leaf disease using deep neural networks. Pre-processing techniques such as data augmentation and median filter have been applied to the dataset to avoid overfitting and to improve the model performance and accuracy. A model has been generated and analyzed its performance using deep learning approach. Also, the feature extracted, and preprocessed data set was fed to several models and analyzed their performance using various accuracy metrics.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121983848","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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