Analysis of Machine Learning Algorithms for COVID Detection Using Deep Learning

Identification of different plants, weeds, or any related type of vegetation is an important aspect of agricultural robotics and technologies. With the help of image processing and computer vision, multiple attempts have been made to achieve these results. These approaches made use of the shape and color of the leaf to identify a particular plant. But it can be observed that this approach has some limitations resulting in false positive and true negative errors. To overcome these limitations, the authors propose a novel approach of using Laplacian filter to extract veins morphology of leaves of a plant. This veins pattern is unique to every plant. With this Laplacian filter and data augmentation techniques, a unique dataset is developed on which a deep learning model can be trained. Based on this approach, the proposed system applies a deep learning algorithm called YOLO for plant identification. After preprocessing and YOLO training, the model is able to distinguish between plant and a weed successfully and create a bounding box for the detected type of plant.

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Interactive Virtual Consultation and Disease Diagnosis Using Machine Learning Approach

Kanjalkar,

Tekade,

Thakare

et al. 2023

Advances in Artificial and Human Intelligence in the Modern Era

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Businesses that provide care remotely are far from the scope of virtual care. It offers a delivery channel for particular patient populations with applications that do not need in-person examinations or presence, even though it cannot be assumed to be the solution to all health-related questions. According to the scoping reviews, virtual care includes a significant information generation method called disease diagnosis, considered as the very first step towards treating the illness. Along with video conferencing technologies for consulting the doctors to achieve care supervision. Application of rehabilitation, remote consultation, and emergency services are efficient ways to use in attention to achieve well-being. Machine learning is one such way to achieve disease diagnosis based on information provided by the user with a high accuracy using various approaches. In this chapter, a novel approach of random forest approach with modifications is used.

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Analysis of Machine Learning Algorithms for COVID Detection Using Deep Learning

Cited by 3 publications

References 14 publications

Random Pixel Embedding: A Novel Approach to Image Steganography

Random Pixel Embedding: A Novel Approach to Image Steganography

A Novel Approach to Identify Leaf Vein Morphology Using Laplacian Filter and Deep Learning for Plant Identification

Interactive Virtual Consultation and Disease Diagnosis Using Machine Learning Approach

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