Deep Learning–Based Automated Detection and Classification of Chili Plant Diseases for Early Diagnosis and Crop Health Monitoring

Chili plants are vulnerable to multiple diseases that reduce crop yield and quality.

Traditional disease detection methods rely on manual inspection and expert knowledge.

Delayed diagnosis can lead to rapid disease spread and economic losses.

Advances in Deep Learning enable automated plant disease detection using image analysis.

Convolutional Neural Networks (CNNs) can accurately classify diseases from chili leaf images.

Automated systems support early diagnosis and real-time crop health monitoring, improving agricultural productivity.