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Article
Optimized transfer learning approach for leaf disease classification in smart agriculture
In recent years, numerous deep learning architectures have used publicly available/author-generated datasets to classify plant diseases. This study suggested a four-stage process for classifying plant diseases...
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Article
An efficient stacking-based ensemble technique for early heart attack prediction
In many parts of the world, heart disease is the leading cause of death. Preventing or effectively managing cardiac disease often depends on its early detection. There has been a significant uptick in research...
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Article
Performance enhancement of kernelized SVM with deep learning features for tea leaf disease prediction
India is one of the world's leading tea producers, yet more than 70% of the country's tea is consumed domestically. Tea leaf diseases have a significant impact on the quality and yield of tea. So, it is very i...
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Article
Blockchain-enabled healthcare monitoring system for early Monkeypox detection
The recent emergence of monkeypox poses a life-threatening challenge to humans and has become one of the global health concerns after COVID-19. Currently, machine learning-based smart healthcare monitoring sys...
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Article
Performance evaluation of PCA based reduced features of leaf images extracted by DWT using random Forest and XGBoost classifier
The leaf disease classification is a method for putting diseases into groups based on their properties, like texture, shape, and color. Even though DL features are very good at classifying leaf diseases, some ...
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Article
Efficient feature selection using BoWs and SURF method for leaf disease identification
When plant diseases appear, they have an adverse effect on agricultural output. Food insecurity would worsen if plant diseases were not identified accurately in time. Without early identification of plant dise...
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Article
Bell pepper leaf disease classification with LBP and VGG-16 based fused features and RF classifier
The present work focuses on detecting disease in big fields of bell peppers using a hybrid feature fusion and machine learning approach. For the most part, farmers of bell peppers don’t know if their plants ar...
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Article
A comprehensive survey on leaf disease identification & classification
This paper presents survey on various techniques used to classify plants and its disease. Classification is concerned with classifying each sample into different classes. Classification is a method of separati...
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Application of Internet of Things in Digital Pedagogy
The Internet of Things (IoT) is a novel idea in computing. The purpose of IoT is to connect the objects that surround us through network. The main aim of IoT is to access information from anywhere and at anyti...
