MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641123024 A) filed by Thiyagu Ragugandhi on October 14, 2026, for Agri Doctor Cube Ai And Iot Based Smart Agricultural Decision Support And Recommendation System.
Inventors include Dr. R. Thiyagu; Dr. G. Gowrisanker; Abipriya P; Dharshini T R; Hirthiga M; Christina A; Selvalakshmi G; Karishma S; Roshini R; and Vasuki V.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: ABSTRACT The present invention relates to an intelligent agricultural assistance system, referred to as “Agri Doctor Cube”, configured to assist farmers in monitoring crop and soil conditions and in identifying common agricultural problems at an early stage. The system is provided in a compact and portable cube-shaped housing and incorporates one or more sensing units, a processing and control unit, a communication interface, a power supply unit, and an output or user-interface unit. The sensing units are configured to acquire agricultural parameters including, but not limited to, soil moisture, soil temperature, ambient temperature, humidity, and other crop or soil-related parameters. The acquired data is processed by the processing unit using predefined rules, analytical methods, and/or artificial intelligence or machine- learning techniques to determine the condition of the soil and crop and to identify possible irrigation requirements, nutrient deficiencies, disease symptoms, or other crop stresses. Based on the processed information, the Agri Doctor Cube is configured to generate an understandable advisory or recommendation for the farmer, thereby supporting timely decisions relating to irrigation, crop care, and other agricultural practices. The system may further transmit or display the sensed and processed information through a connected mobile device, display unit, or other communication platform. The compact construction enables convenient deployment in agricultural fields, while the integrated sensing, processing, and advisory functions provide a practical smart-farming solution. The invention is intended to reduce unnecessary use of water and agricultural inputs, facilitate early detection of crop-related issues, minimize potential crop losses, improve resource management, and support increased agricultural productivity. The system can be adapted for different crops, soil conditions, and farming environments, thereby providing a scalable and user-friendly technology for precision and intelligent agriculture.
Disclaimer: Curated by HT Syndication.
