IOT-Enabled Deep Learning Framework for Scalable Crop Disease Prediction Using Multimodal Sensor and Image Fusion

Puntos clave

• Crop disease prediction using deep learning was effectively enhanced by multimodal sensor integration.
• The framework showcases advanced capabilities in processing and analyzing diverse data sources, indicating its versatility.
• Observational analysis using an IoT setup enabled real-time data collection and disease forecasting.
• Highlights the need for scalable solutions in agriculture, particularly through technology integration.