AgricultureEarlyWarning: A Web-Based Climate Advisory and Early Warning Platform for Albanian Farmers

This study reports the design and implementation of AgricultureEarlyWarning, a web-based prototype developed to operationalize climate information services and early warning logic for farmer-centered agricultural risk management in Albania. The system integrates parcel-level registration and geolocation, daily and hourly forecast ingestion, crop-stage-sensitive risk evaluation, satellite-derived indicators, dashboard analytics, AI-assisted agronomic explanation, vulnerability profiling, escalation support, and scheduled alert dissemination within a single application. The implementation stack combines ASP.NET MVC on .NET Framework 4.8, SQL Server persistence, Hangfire background scheduling, Open-Meteo weather services, Sentinel Hub APIs, and OpenStreetMap reverse geocoding. Rather than proposing a novel forecasting algorithm or claiming a complete national early warning system, the study contributes an implementation-oriented platform that links data acquisition, contextual risk interpretation, farmer-facing visualization, and asynchronous communication. The findings indicate that the prototype supports localized monitoring, advisory generation, alert scheduling, and analytics, while field validation, long-term adoption assessment, and full institutional response governance remain priorities for future work.

@article{Gjermeni2026,
  title     = {AgricultureEarlyWarning: A Web-Based Climate Advisory and Early Warning Platform for Albanian Farmers},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {17},
  number    = {6},
  year      = {2026},
  publisher = {The Science and Information Organization},
  author    = {Irida Gjermeni},
  doi       = {10.14569/IJACSA.2026.0170639},
  url       = {https://doi.org/10.14569/IJACSA.2026.0170639}
}