Machine Learning and image processing in leaf disease detection

Plant diseases have significant negative impacts on agricultural production and economicoutcomes, leading to reduced quality and quantity of crops. The detection of plant diseases hasbecome an increasingly important area of focus in monitoring large fields of crops. Farmersoften face challenges when transitioning from one disease control strategy to another.Traditionally, experts rely on naked eye observation for disease detection and identification. Thispaper emphasizes the need for a simple plant leaf disease detection system to driveadvancements in agriculture. Early detection of crop health and diseases can enable effectivedisease control through proper management strategies, ultimately improving crop productivity.The paper also evaluates the advantages and limitations of various potential methods, includingimage acquisition, image pre-processing, feature extraction, and neural network-basedclassification.

کلیدواژه ها:

Disease detection ، Image acquisition ، pre-processing ، features extraction.