Biography

In order to increase agricultural output, this study presented a hybrid intelligent framework for precise plant disease identification. The suggested model successfully overcomes the drawbacks of traditional and stand-alone learning techniques by combining deep learning with optimization methods. According to experimental data, the hybrid model performs better on all assessment parameters, guaranteeing accurate and timely disease detection. Its potential for practical use in smart agricultural systems is shown by the increased accuracy and decreased error rates. Multispectral and hyperspectral imagery can be added to the model in the future to enhance the assessment of disease severity. Real-time field monitoring and farmer-friendly decision support systems may be made possible by integration with IoT-based