Paper Key : IRJ************937
Author: Ajinkya Mahagaonkar,Sakshi Jadhav,Pratiksha Davkhar,Pranav Dhondge
Date Published: 09 Nov 2024
Abstract
Abstract: This research examines the progress in plant disease diagnosis through artificial intelligence (AI) and machine learning (ML), focusing on methods such as neural networks (CNN) and pattern detection products for crop disease identification. This study demonstrates recent advances in the use of deep learning for accurate disease classification and discusses the challenges in applying the model in agricultural applications.Introduction: Plant diseases affect agriculture worldwide and require effective detection methods. With the help of AI and machine learning technologies, automated systems can quickly and accurately detect diseases and help them at an early stage, thus modifying plant pathology. This article explores various AI and machine learning techniques to improve disease diagnosis and discusses the potential for action and immediate use in agriculture.