ARGOSCAN: An Intelligent Agent Framework for Smart Crop Disease Detection and Treatment Recommendation

Author(s)	Mr. S. Jayanna, D. Vaishnavi, A. Anitha, C. Tejashwini, S. Akshitha
Country	India
Abstract	Plant diseases have a major impact on agricultural output, especially in areas where prompt expert consultation is scarce. This study introduces Argo Scan, an intelligent web-based infrastructure for advising support and real-time crop disease detection. To help farmers effectively identify crop illnesses, the technology combines multilingual communication, vision- based artificial intelligence, and environmental awareness. A cloud-based vision model is used for image processing, and additional features like voice help, geolocation, and weather insights improve usability. The system is available to a wider range of users because it supports Telugu, Hindi, and English. The system maintains effective response times and makes accurate predictions in real-world circumstances, according to experimental evaluation.
Keywords	Crop Disease Detection, Smart Agriculture, Artificial Intelligence, Computer Vision, Multilingual System, Web-Based Application, Precision Farming, Plant Disease Identification, Real-Time Advisory System, Agricultural Technology
Discipline	Engineering
Published In	Volume 4, Issue 2, March-April 2026
Published On	2026-04-12
DOI	https://doi.org/10.62127/aijmr.2026.v04i02.1285

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Advanced International Journal of Multidisciplinary Research