PLANT DISEASE DETECTION USING DEEP LEARNING

Author(s)	Mr. Sai Charan Reddy Lattupalli, Mr. Tarun Sai Chowdary Boddapati, Mr. Vignesh Goud Karnokata, Dr. Shruthi SK
Country	India
Abstract	The detection and diagnosis of plant diseases are critical for ensuring agricultural productivity and food security. This study explores the application of deep learning algorithms in identifying and classifying plant diseases, offering a scalable and efficient solution for modern agriculture. By leveraging techniques such as Convolutional Neural Networks (CNNs) and transfer learning, the proposed framework demonstrates high accuracy in disease detection across various plant species. This paper also discusses the potential challenges and future research directions in deploying deep learning models for agricultural use.
Keywords	Plant disease detection, deep learning, CNNs, transfer learning, agricultural technology.
Field	Engineering
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-05-11

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International Journal For Multidisciplinary Research