MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049601 A) filed by Karthi Nallasivam; Ms. J. Swathi; Mrs. P. Kalaiselvi; Mr. M. Anand; Mr. M. Michael Jones; Mr. P. Balaji; Mr. R. Sambasivam; Mr. E. Sharma; Mr. K. B. M. Sathma Bashan; and Mr. M. Mohammed Arshat, Erode, Tamil Nadu, on April 18, for 'ai-based autonomous pot for indoor plant cultivation.'
Inventor(s) include Karthi Nallasivam; Ms. J. Swathi; Mrs. P. Kalaiselvi; Mr. M. Anand; Mr. M. Michael Jones; Mr. P. Balaji; Mr. R. Sambasivam; Mr. E. Sharma; Mr. K. B. M. Sathma Bashan; and Mr. M. Mohammed Arshat.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to the field of smart agriculture and indoor plant cultivation, particularly to an AI-based autonomous smart pot system designed to monitor, analyze, and maintain optimal plant growth conditions with minimal human intervention. In modern urban environments, individuals often face challenges such as lack of time, improper watering practices, inconsistent environmental conditions, and inability to detect plant diseases at an early stage, which result in poor plant health and reduced productivity. To address these issues, the invention proposes an intelligent and automated solution that integrates Internet of Things (IoT), embedded systems, and artificial intelligence (AI) technologies. The system continuously monitors essential parameters such as soil moisture, temperature, humidity, and pH levels using various sensors, and processes this data in real time to make decisions for plant care. Additionally, the system incorporates a camera module integrated with a Convolutional Neural Network (CNN) model to detect plant diseases and stress conditions through image analysis. The smart pot automatically controls irrigation, lighting, and environmental conditions such as airflow, thereby ensuring optimal plant growth without constant human supervision, and provides real-time feedback and alerts through a display or mobile interface. The system is compact, cost-effective, energy-efficient, and scalable, making it suitable for indoor environments such as homes, offices, and urban farming applications, thereby offering a practical and innovative solution for enhancing plant health, reducing manual effort, and promoting sustainable agricultural practices."
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