Citrus diseases detection using innovative deep learning approach and Hybrid Meta-Heuristic.

ABSTRACT: Citrus farming is one of the major agricultural sectors of Pakistan and currently represents almost 30% of total fruit production, with its highest concentration in Punjab. Although economically important, citrus crops like sweet orange, grapefruit, lemon, and mandarins face various diseases like canker, scab, and black spot, which lower fruit quality and yield. Traditional manual disease diagnosis is not only slow, less accurate, and expensive but also relies heavily on expert intervention. To address these issues, this research examines the implementation of an automated disease classification system using deep learning and optimal feature selection. The system incorporates data augmentation and transfer learning with pre-trained models such as DenseNet-201 and AlexNet to improve diagnos

SUBMITTER: Butt N 

PROVIDER: S-EPMC11753642 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature