MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541122630 A) filed by Easwari Engineering College, Chennai, Tamil Nadu, on Dec. 5, 2025, for 'smart aflatoxin risk detection in groundnuts using ai.'
Inventor(s) include Sivasakthi P; Sandhiya V; and Rubasri A.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "This invention introduces an innovative Al-based system designed for the early detection of aflatoxin risk in groundnut crops using smartphone imaging and deep learning techniques. By analysing colour, texture, and visual symptoms, the system can identify signs of fungal infection and classify the crop into different risk levels. It provides explainable visual results that help users understand the cause of detected risks. Unlike conventional laboratory testing methods, this approach is non-invasive, real-time, and cost-effective, making it highly suitable for farmers across diverse regions. The integration of Explainable Al (XAI) enhances transparency, allowing users to trust the model's decisions, while cloud connectivity supports large-scale crop monitoring and continuous system improvement. Overall, this invention represents a significant advancement in smart agriculture and food safety, offering an accessible, data-driven, and reliable tool to detect aflatoxin contamination early and reduce economic and health risks associated with infected groundnut crops."
Disclaimer: Curated by HT Syndication.
