Smart Plant Disease Detection And Analysis
The application can identify common diseases such as leaf spot, powdery mildew, and blight, providing users with accurate disease classifications and severity assessments, and will focus on expanding the disease database, improving model accuracy, and integrating additional features such as pest identification and weather impact analysis.
Abstract
: The user-friendly interface of the application allows farmers and agricultural professionals to easily capture and analyze leaf images using smartphones, providing real-time feedback and actionable insights. this plant disease detection application represents a significant advancement in agricultural technology, offering a practical solution for enhancing crop health management and contributing to global food security. Future work will focus on expanding the disease database, improving model accuracy, and integrating additional features such as pest identification and weather impact analysis. The system is built on a convolutional neural network (CNN) architecture trained on a diverse dataset comprising thousands of labeled images of healthy and diseased plants. The application can identify common diseases such as leaf spot, powdery mildew, and blight, providing users with accurate disease classifications and severity assessments.