LITERATURE REVIEW ON PERANIX – SMART CROP PLANNING & MARKET INTELLIGENCE PLATFORM
In India, agriculture sustains over 50% of the working population, yet agrarian economies experience severe recurring financial losses due to uncoordinated crop sowing, resulting in severe market gluts, extreme commodity price crashes, and subsequent farmer distress.Conventional government reporting mechanismssuch as seasonal sowing surveys and digital portals like e-Pik Pahani-record crop acreage post-germination, introducing an insurmountable 30-day reporting blind spot that prevents timely, proactive advisory interventions.This paper presents Perani-X, a smart crop planning and market intelligence platform that addresses this systemic gap through real-time point-of-sale (POS) seed distribution tracking, automated dualdataset synthesis, and hyper-local meteorological and economic intelligence.By capturing retail seed sales from licensed agri-input dealers, PeraniX establishes the earliest verifiable leading indicator of regional crop acreage weeks before crop maturity.The platform reconciles live estimated sowing area against historical taluka target norms to detect over-sowing (>120%) and under-sowing (<60%) anomalies in real time.Integrated with the free Open-Meteo REST API for 7-day bilingual weather telemetry, wholesale APMC mandi price tracking, and a grounded bilingual conversational AI advisor powered by Google Gemini and OpenAI with database tool-calling, PeraniX delivers role-based intelligence across Farmers, Agri-Shops, Agriculture Officers, and APMC Traders.Developed on FastAPI, Next.js 14, and a 27-table Supabase PostgreSQL database, the platform demonstrates an effective 3-to-4-week early warning window, enabling data-informed crop diversification and stabilizing rural agricultural market supply.
Publication Details
- Journal
- International Research Journal of Modernization in Engineering Technology and Science
- Published
- 2026-11-02
- DOI
- https://doi.org/10.56726/irjmets104249
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00