MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641074233 A) filed by Vellore Institute Of Technology on June 15, 2026, for “an Integrated Agricultural Platform Configured For Real Time Weather Based Crop Planning And Financial Management”.
Inventors include N. Yuvaraj; K R Lahari; S Divya; D Tonia Sree; and Somavarapu Lavanya.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention relates to an integrated agricultural decision-support platform is disclosed for providing real-time, data-driven guidance to growers by combining weather analytics, crop planning, market intelligence, diagnostic assessment, and financial computation. the platform includes a dashboard-based user interface for entry of soil parameters, climatic data, crop symptoms, commodity information, and financial variables. a weather acquisition module retrieves location-specific meteorological data from external sources and generates validated, structured weather inputs. a crop recommendation module processes soil and weather features, performs normalization and feature engineering, and applies a trained machine-learning classifier to produce ranked crop recommendations with probability scores. market price forecasting is achieved through dual predictive engines that implement ARIMA-based multi-day forecasting with auto-selected parameters and an LSTM sequence model for dynamic short-term predictions, each outputting confidence metrics. a crop-disease diagnostic module classifies probable diseases from observed symptoms using a trained pattern-recognition model and provides associated treatment guidance. a financial-computation module calculates loan amortization, crop- profit estimates, and seasonal insurance premiums. a backend data-processing layer coordinates inter-module data exchange and generates consolidated advisory outputs encompassing crop recommendations, forecasted market prices, disease diagnosis, and financial indicators. corresponding methods for performing the integrated decision-support operations, including preprocessing, weather aggregation, disease-severity mapping, and dashboard-based presentation, are also described. Fig 1 to 14.
Disclaimer: Curated by HT Syndication.
