Plant Disease Detector

Plant diseases cause major losses in crop yield and quality, leading to serious economic impacts.In recent years, the need for efficient plant disease detection has grown, especially for monitoring large-scale farming areas.Farmers often face difficulties when adapting to new disease control strategies.Traditionally, identifying plant diseases has relied on experts visually inspecting leaves and other plant parts-a process that is both timeconsuming and prone to error.This paper emphasizes the importance of developing a simple and reliable system for detecting diseases in plant leaves to enhance agricultural productivity.Early detection of crop diseases provides farmers with valuable insights for timely and effective management, ultimately improving crop output.The proposed method involves several key stages: image acquisition, pre-processing, feature extraction, and disease classification using a neural network.Additionally, the paper evaluates the strengths and limitations of existing detection techniques to highlight opportunities for further improvement.