Intellectual Property India Publishes Patent Application for “a System And Method For Measuring Economic Return Of Agricultural Policy Interventions Using Causal Machine Learning”

MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202611087422 A) filed by Krishna Institute Of Engineering & Technology Kiet on July 16, 2026, for “a System And Method For Measuring Economic Return Of Agricultural Policy Interventions Using Causal Machine Learning”.

Inventors include Devanshi Bansal; Shubhangi Chaurasia; Shreya Yadav; Shikhar Anand; and Dr. Akash Goel.

The application for the patent was published on September 11, 2026, under issue no. 37/2026.

Abstract: The present invention discloses a system and method for measuring economic return of agricultural policy interventions using causal machine learning. The system comprises a data acquisition module, preprocessing engine, causal estimation engine, return-on-investment computation module, machine learning operations framework, and stakeholder interface. Agricultural, economic, environmental, and intervention-related datasets are collected and processed to generate longitudinal panel datasets. A fixed-effects regression-based causal estimation engine computes Average Treatment Effects and other intervention impact metrics while controlling for confounding variables. The system further calculates return-on-investment, net economic benefits, productivity improvements, and policy effectiveness indicators. Analytical outputs are delivered through application programming interfaces, dashboards, and automated reports.

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