MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511115798 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on Nov. 23, 2025, for 'integrated ml system and method for dual-classification crop management and prescriptive agricultural guidance.'
Inventor(s) include Tushar; Vijay Kumar Shah; Sovit Singh; Utkarsh Upadhyay; Utkarsh Mishra; Dr. Santosh Kumar Upadhyay; and Dr. Inderjeet Kaur.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an integrated machine learning-based system for dual-classification crop management and prescriptive agricultural guidance. The system employs a single XGBoost model trained on structured soil and environmental parameters including Nitrogen, Phosphorus, Potassium, soil pH, temperature, humidity, and rainfall to generate two outputs simultaneously: a crop recommendation indicating the most suitable crop for a given plot, and a crop health assessment identifying the condition as Healthy, Stressed, or Deficient. A rule-based inference engine processes these outputs to deliver context-specific agronomic prescriptions such as fertilizer requirements, soil pH adjustments, and irrigation modifications. The invention overcomes the fragmentation of existing precision agriculture tools by combining pre-sowing planning and post-sowing intervention into one unified, computationally efficient, non-image-based framework. The system enables proactive diagnosis, improves resource utilisation, enhances sustainability, and provides an interpretable and scalable solution suitable for diverse agricultural environments."
Disclaimer: Curated by HT Syndication.
