MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641049082 A) filed by Dr. K. Meenakshi; D. D. Moheeth Kumar; N. Navyashree; Shuchitra. E; and R. Jayachandhran on April 17, 2026, for Multilingual Crop Yield Prediction System Using Artificial Neural Networks For Smart Agriculture.
Inventors include Dr. K. Meenakshi; D. D. Moheeth Kumar; N. Navyashree; Shuchitra. E; and R. Jayachandhran.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT The present invention relates to a multilingual crop yield prediction system based on Artificial Neural Networks (ANN) for intelligent agricultural decision-making. The system collects environmental and soil parameters including temperature, humidity, rainfall, soil moisture, and soil pH through a digital interface and processes them using a trained ANN model deployed on a cloud platform. Based on the analysis, the system predicts suitable crops, irrigation requirements, and expected yield.'fhe invention features a multilingual user interface to improve accessibility for farmers across different regions. It further includes an agricultural advisory module providing information on crop guidance and government schemes. Unlike existing systems requiring loT hardware, the proposed solution is softwarebased, making it cost-effective, scalable, and easily deployable. The system enhances productivity by integrating machine learning, cloud computing, and user- friendly multilingual support.
Disclaimer: Curated by HT Syndication.
