MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048272 A) filed by National Institute Of Technology, Warangal, Telangana, on April 15, for 'a real-time intelligent system for grape leaf disease detection and resource scheduling in distributed computing environments using a genetic reinforcement kernel optimization (grko) framework.'
Inventor(s) include Mr Banoth Prasad; and Prof. Raju Bhukya.
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 hardware-integrated intelligent system for automated grape leaf disease detection and computational resource scheduling using a Genetic Reinforcement Kernel Optimization (GRKO) framework. The system captures grape leaf images, preprocesses them, and extracts disease-related features for accurate classification. A machine learning prediction module estimates execution time and resource requirements for grape leaf image processing tasks. A genetic algorithm module performs global optimization of task-resource allocation, while a reinforcement learning module dynamically adapts scheduling decisions based on system state and feedback. A kernel optimization module reduces computational complexity and processing overhead. The coordinated operation of these modules enables simultaneous optimization of makespan, energy consumption, load balancing, and throughput during grape leaf disease detection workflows. The system is implemented on hardware processing units including CPU, GPU, and edge devices, enabling real-time and scalable deployment. The invention improves accuracy, efficiency, and adaptability in precision agriculture and intelligent computing environments."
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