MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611024474 A) filed by Chandigarh University, Mohali, Punjab, on March 2, for 'hybrid quantum-classical decision support system for sustainable biofertilizer application.'
Inventor(s) include Dr Divjot Kour; Dr Aman Kataria; Dr. Balaka Biswas; and Dr Aman Grover.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a hybrid quantum-classical artificial intelligence framework for predictive modeling and optimization of biofertilizer-plant-soil interaction networks in precision agriculture. The system integrates sensor-driven data acquisition with quantum machine learning and classical artificial intelligence models to capture complex, non-linear, and high-dimensional biological relationships. Quantum models analyze entangled interactions among soil properties, microbial communities, and plant physiological traits, while classical models perform scalable feature extraction and temporal analysis. Outputs from both computational paradigms are fused to generate accurate predictions of crop response and soil health. A decision and optimization engine applies reinforcement learning and quantum-assisted optimization to determine optimal biofertilizer type, dosage, and application timing. A closed-loop feedback mechanism continuously updates model parameters using post-application field data, enabling adaptive learning. The invention enhances prediction accuracy, sustainability, and site-specific biofertilizer management."
Disclaimer: Curated by HT Syndication.
