MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641123028 A) filed by Dr. Adlin Sheeba; Dr Bibhu Santosh Behera; Dr. S. Mohan; Dr. S Nagakishore Bhavanam; Nandana M; Raghul E; Ram Prithish R; Santhosh B; and Thowfik Pathan F on October 14, 2026, for Ai Based Crop Yield Prediction For Indian Farms.
Inventors include Dr. Adlin Sheeba; Dr Bibhu Santosh Behera; Dr. S. Mohan; Dr. S Nagakishore Bhavanam; Nandana M; Raghul E; Ram Prithish R; Santhosh B; and Thowfik Pathan F.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention relates to an Artificial Intelligence (AI)-based crop yield prediction system for Indian farms that estimates agricultural productivity using multi- source agricultural data fusion and machine learning techniques. The system comprises a data acquisition module configured to collect historical crop yield records, soil characteristics, weather parameters, rainfall measurements, irrigation details, crop variety information, fertilizer application data, and satellite-based vegetation indices. A data preprocessing module performs data cleaning, normalization, missing-value handling, and feature extraction to generate a structured agricultural dataset. A machine learning prediction module processes the structured dataset using one or more trained predictive models to estimate crop yield for a selected crop, geographical region, and cultivation period. The system further incorporates regional agricultural characteristics, seasonal variations, and crop growth-stage information to improve prediction reliability under diverse Indian farming conditions. A recommendation module generates actionable insights relating to irrigation, nutrient management, and crop monitoring based on predicted yield and identified production risks. A farmer interface presents the estimated yield, confidence range, and relevant recommendations in a regional language through a mobile application or web-based platform. The invention facilitates data-driven farm planning, efficient resource utilization, and improved agricultural decision-making for small, marginal, and large-scale farmers in India.
Disclaimer: Curated by HT Syndication.
