MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641088011 A) filed by Srk Institute Of Technology on July 18, 2026, for The Quantum-Classical Optimization Algorithm For Autonomous Resource Allocation In Integrated Aquaponics And Vertical Farming Ecosystems.
Inventors include Dr. Mula Malyadri; Dr. Ganta Srilakshmi; Tellakula Sanjeev Kumar; Meenakshi Goriparthi; and Runjala Sowjanya.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: ABSTRACT [0013] The present invention discloses a novel Quantum-Classical Hybrid Optimization System (QCHOS) for autonomous resource allocation in integrated aquaponics and vertical farming ecosystems. This system effectively combines the computational strengths of quantum processing for exploring complex, high-dimensional solution spaces with classical algorithms for reliable data handling, validation, and real-time control. By integrating a network of environmental and biological sensors, actuators, and a hybrid computing core, the invention enables dynamic optimization of critical resources including water recirculation, nutrient cycling, energy consumption, lighting regimes, and spatial configurations within closed-loop vertical aquaponic setups. The proposed method begins with continuous sensor data acquisition, formulates multi-objective optimization problems capturing the symbiotic interactions between fish and plants, and employs hybrid quantum- classical algorithms to derive efficient allocation strategies. [0014] These strategies are implemented through automated actuators, with ongoing feedback loops ensuring ecosystem stability and adaptability to changing conditions. Experimental evaluations and simulations demonstrate significant improvements, such as 30-40% reductions in water and nutrient waste, 15-25% enhancements in biomass yield and superior convergence speeds compared to traditional optimization techniques. The invention maintains full novelty through its tailored hybrid framework specifically designed for the interdependent biological and environmental dynamics of integrated aquaponics-vertical farming systems. It offers broad applicability in urban agriculture, commercial sustainable food production, research environments, and resilient farming operations, advancing autonomous, resource-efficient, and scalable solutions for future food security challenges. This technology represents a significant step forward in merging quantum-enhanced computing with precision agriculture for sustainable ecosystem management.
Disclaimer: Curated by HT Syndication.
