A Review of Automated Pomegranate Disease Detection And Classification Using Machine Learning
The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits.
Journal of Image Processing & Pattern Recognition Progress [2394-1995(e)]Â is a peer-reviewed hybrid open-access journal launched in 2014 focused on the rapid publication of fundamental research papers on all areas of Image Processing & …
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Mr. Mohit Tiwari, Assistant professor
Bharati Vidyapeeth’s College of Engineering, Delhi, Delhi, India, 110063
Email :
Institutional Profile Link: https://bvcoend.ac.in/index.php/mohit-tiwari/
Journal: Journal of Image Processing & Pattern Recognition Progress
The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits.
The proposed work focuses on a stacked generalization-based approach for diagnosing pneumonia from chest X-ray images. It utilizes regularization, early stopping, and data augmentation to deal with overfitting.
This study presents an AI-driven virtual interior design system that allows users to effectively redesign their home or workspace with an integrated shopping experience.
The machine learning discipline is as old as decades, but some problems such as image recognition, location detection, image classification, image generation, speech recognition, and natural language processing cannot be solved.
Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data.
Agriculture is vital to the economy of a country like India, where 70% of the workforce is employed in this sector.