Intellectual Property India Publishes Patent Application for A System And Method For Climate-Adaptive Crop Yield Prediction Using Pso-Optimised Federated Generative Ai With Blockchain-Verified Sustainable Agricultural Decision Support

MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641069918 A) filed by Dr. K Satyanarayan Reddy; Dr. S. Swapna Kumar; Ms. Anju Vincent; Ms. Gayathri P A; and Mr. Eby C V on June 04, 2026, for A System And Method For Climate-Adaptive Crop Yield Prediction Using Pso-Optimised Federated Generative Ai With Blockchain-Verified Sustainable Agricultural Decision Support.

Inventors include Dr. K Satyanarayan Reddy; Dr. S. Swapna Kumar; Ms. Anju Vincent; Ms. Gayathri P A; and Mr. Eby C V.

The application for the patent was published on June 12, 2026, under issue no. 24/2026.

Abstract: [051] The present invention relates to a climate-adaptive agricultural decision support system for crop yield prediction using particle-swarm-optimised federated generative modelling and blockchain-verified sustainability records. The system comprises farm-edge nodes, a federated coordination server, a climate feature processing module, a generative yield simulation module, a particle swarm optimisation module, a sustainable recommendation engine and a blockchain verification module. The farm-edge nodes train local generative models using agricultural, soil, climate, crop-stage and yield data without transferring raw farm data to a central server. Privacy-preserving model updates are aggregated to form a federated generative model, and particle swarm optimisation is applied to optimise model parameters including aggregation weights, climate stress thresholds, feature selection coefficients and recommendation confidence values. The system generates climate-adaptive yield scenarios and sustainable agricultural advisories such as irrigation scheduling, nutrient adjustment, crop stress alerts and climate-resilient practice recommendations. Verification hashes of model versions, predicted yield bands, sustainability scores and recommendation events are recorded on a blockchain ledger to provide tamper-resistant and auditable agricultural decision support. Accompanied Drawing [FIGS. 1-2]

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