Plant Leaf Disease Detection: Review Report
Abstract: Plant leaf disease detection is a crucial aspect of precision agriculture and crop management, helping to prevent crop losses and improves yield quality. Plants are very essential in our life they provide source of energy and overcome the matter of global warming. Plant disease is notable risk of nutrition security. Therefore, timely detection of risk is important. Leaf disease detection using the machine learning is an approach. Machine learning offers a worthy approach for making a classy and automatic algorithm using Convolutional Neural Network (CNN), Artificial Intelligence (AI), Image Processing and video processing, voice processing, Natural Language Processing, etc. This review report provides the comparative analysis of the different machine learning algorithms of diagnosis of different leaf disease.
Keywords: Machine Learning, ML, Convolutional Neural Network, CNN, Artificial Intelligence, AI, Image Processing
How to Cite?: Afrin Akhtar, Mithlesh Kumar, "Plant Leaf Disease Detection: Review Report", Volume 14 Issue 4, April 2025, International Journal of Science and Research (IJSR), Pages: 450-452, https://www.ijsr.net/getabstract.php?paperid=SR25403132253, DOI: https://dx.doi.org/10.21275/SR25403132253