MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641106509 A) filed by Dr. Ramya C; Dr. Shreedhara K S; Dr. Roopa B S; Dr. Savita Channagaudar; and Dr. P. Devisivasankari on September 03, 2026, for An Adaptive Ai System For Persistent Fruit Quality-State Transition, Counterfactual Assessment And Uncertainty-Guided Observation.
Inventors include Dr. Ramya C; Dr. Shreedhara K S; Dr. Roopa B S; Dr. Savita Channagaudar; and Dr. P. Devisivasankari.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: The invention presents an adaptive artificial intelligence system and method for continuous quality-state assessment of an individual fruit. The system establishes an identity for an individual fruit and maintains a persistent computational quality state across multiple observations. A state-transition engine determines changes between a previously stored quality state and a subsequent quality state, while a transition attribution engine identifies factors associated with the changes. A counterfactual assessment module modifies a transition-associated variable to predict an alternative quality state. An uncertainty module determines uncertainty associated with quality-state variables or state transitions and identifies an information deficiency contributing to the uncertainty. An adaptive observation module selects an additional observation configuration based on the identified information deficiency and acquires targeted additional information. The additional information is integrated to revise the persistent quality state. The invention thereby provides a closed-loop mechanism for fruit-specific quality-state estimation, transition explanation, counterfactual assessment and uncertainty-guided observation.
Disclaimer: Curated by HT Syndication.
