Cotton Plant Disease Detection

Developed a cotton plant disease detection system using ResNet-50, VGG16, and VGG19, achieving a 25% increase in detection accuracy.Curated and preprocessed a diverse dataset of cotton plant images, enhancing model training and robustness.
Fine-tuned pre-trained models using transfer learning, optimizing their performance for plant disease identification.Conducted thorough evaluation of model performance, selecting the best model based on comprehensive metrics.
Deployed the final model into a farmer-friendly application, enabling real-time disease diagnosis and actionable insights.Collaborated with agricultural experts to validate the system, ensuring its efficacy in real-world conditions.