MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202621110029 A) filed by Sanjeev Agrawal Global Educational University, Bhopal; and Dr. Prashant Jain on September 14, 2026, for System And Method For Ai-Driven Genomic Selection For Accelerated Crop Improvement.
Inventors include Dr. Atul Kumar Pachauri; Dr Praveen Shrivastava; and Dr Kirti Jain.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: ABSTRACT SYSTEM AND METHOD FOR AI-DRIVEN GENOMIC SELECTION FOR ACCELERATED CROP IMPROVEMENT The present disclosure relates to an AI-driven genomic selection system and method for accelerated crop improvement. Genome-wide marker data from crop candidates are quality-controlled, imputed, and converted into a genomic representation aligned with phenotype and environmental records. An AI genomic prediction engine generates trait-specific or environment-specific genomic values, while an uncertainty engine determines candidate-specific prediction reliability. A confidence gate directs sufficiently supported candidates to a multi-trait selection optimizer and routes low-confidence candidates to a targeted phenotyping or genotyping queue. The selection optimizer evaluates predicted trait merit together with genomic relatedness so that a selected set satisfies configured diversity constraints. Newly acquired observations are reconciled to candidate identifiers and incorporated into a controlled model-update dataset for subsequent prediction cycles. The architecture thereby integrates genomic quality control, uncertainty-aware prediction, environment-aware selection, diversity preservation, and feedback-directed data acquisition in an iterative genomic selection process.
Disclaimer: Curated by HT Syndication.
