Amrita Tulshan - Academia.edu (original) (raw)
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Papers by Amrita Tulshan
Communications in Computer and Information Science
In this survey paper, we point out a comparative study on different types of plant leaf diseases ... more In this survey paper, we point out a comparative study on different types of plant leaf diseases and all the techniques of machine learning which had been used to detect plant leaf disease. This was accomplished for two principle reasons: to restrain the length of the paper and in light of the fact that techniques managing roots, seeds and natural products have a few idiosyncrasies that would warrant a particular study. The chose proposition are isolated into three classes as indicated by their goal: recognition, seriousness measurement, and characterization. Every one of those classes, thus, are subdivided by the primary specialized arrangement utilized in the calculation. This paper is required to be helpful to specialists working both on vegetable pathology and example acknowledgment, giving a thorough and open outline of this significant field of research.
2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
Every other field has got some benefit from new technologies as compared to the agricultural fiel... more Every other field has got some benefit from new technologies as compared to the agricultural field. According to past studies, 42% of agricultural production is in loss and that too only because of the increasing rate of loss due to plant leaf diseases. To overcome this major issue, this plant leaf disease detection technique can be applied to detect a disease from the input images. This process involved steps like image pre-processing, image segmentation, feature extraction. Furthur K Nearest Neighbor (KNN) classification is applied on the outcome of these three stages. Proposed implementation has shown 98.56% of accuracy in predicting plant leaf diseases. It also presents other information regarding a plant leaf disease that is Affected Area, Disease Name, Total Accuracy, Sensitivity and Elapsed Time
Communications in Computer and Information Science
Virtual assistant is boon for everyone in this new era of 21st century. It has paved way for a ne... more Virtual assistant is boon for everyone in this new era of 21st century. It has paved way for a new technology where we can ask questions to machine and can interact with IVAs as people do with humans. This new technology attracted almost whole world in many ways like smart phones, laptops, computers etc. Some of the significant VPs are like Siri, Google Assistant, Cortana, and Alexa. Voice recognition, contextual understanding and human interaction are the issues which are not solved yet in this IVAs. So, to solve those issues 100 users participated a survey for this research and shared their experiences. All users’ task was to ask questions from the survey to all personal assistants and from their experiences this research paper came up with the actual results. According to that results many services were covered by these assistants but still there are some improvements required in voice recognition, contextual understanding and hand free interaction. After addressing these improvements in IVAs will definitely increased its use is the main goal for this research paper.
Communications in Computer and Information Science
In this survey paper, we point out a comparative study on different types of plant leaf diseases ... more In this survey paper, we point out a comparative study on different types of plant leaf diseases and all the techniques of machine learning which had been used to detect plant leaf disease. This was accomplished for two principle reasons: to restrain the length of the paper and in light of the fact that techniques managing roots, seeds and natural products have a few idiosyncrasies that would warrant a particular study. The chose proposition are isolated into three classes as indicated by their goal: recognition, seriousness measurement, and characterization. Every one of those classes, thus, are subdivided by the primary specialized arrangement utilized in the calculation. This paper is required to be helpful to specialists working both on vegetable pathology and example acknowledgment, giving a thorough and open outline of this significant field of research.
2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
Every other field has got some benefit from new technologies as compared to the agricultural fiel... more Every other field has got some benefit from new technologies as compared to the agricultural field. According to past studies, 42% of agricultural production is in loss and that too only because of the increasing rate of loss due to plant leaf diseases. To overcome this major issue, this plant leaf disease detection technique can be applied to detect a disease from the input images. This process involved steps like image pre-processing, image segmentation, feature extraction. Furthur K Nearest Neighbor (KNN) classification is applied on the outcome of these three stages. Proposed implementation has shown 98.56% of accuracy in predicting plant leaf diseases. It also presents other information regarding a plant leaf disease that is Affected Area, Disease Name, Total Accuracy, Sensitivity and Elapsed Time
Communications in Computer and Information Science
Virtual assistant is boon for everyone in this new era of 21st century. It has paved way for a ne... more Virtual assistant is boon for everyone in this new era of 21st century. It has paved way for a new technology where we can ask questions to machine and can interact with IVAs as people do with humans. This new technology attracted almost whole world in many ways like smart phones, laptops, computers etc. Some of the significant VPs are like Siri, Google Assistant, Cortana, and Alexa. Voice recognition, contextual understanding and human interaction are the issues which are not solved yet in this IVAs. So, to solve those issues 100 users participated a survey for this research and shared their experiences. All users’ task was to ask questions from the survey to all personal assistants and from their experiences this research paper came up with the actual results. According to that results many services were covered by these assistants but still there are some improvements required in voice recognition, contextual understanding and hand free interaction. After addressing these improvements in IVAs will definitely increased its use is the main goal for this research paper.