Kissan Konnect: AI-Powered Plant Disease Control System Fusing Temporal Data Modeling with Deep Learning

This research introduces a sophisticated framework tailored for the proactive identification and management of viral afflictions in plants, concentrating on five primary culprits: Yellow Curl Virus, Mosaic Virus, Late Blight Virus, Chlorosis, and Bacterial Spot Virus. By seamlessly fusing remote sensing technology, machine learning algorithms, and comprehensive data analytics, the system enables real-time surveillance and precise forecasting of potential disease outbreaks. This innovative tool equips agriculturists, researchers, and policymakers with actionable insights, fostering the early prediction of viral incursions. Consequently, it supports the strategic deployment of targeted interventions, which not only boost crop vitality and yield but also safeguard long-term food security.