MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641056316 A) filed by Rmk Engineering College on May 03, 2026, for A Smart Greenhouse Automation System With Deep Neural Network Based Growth Monitoring And Encrypted Control Architecture.
Inventors include Dr. S Srijayanthi; Dr. Gladiss Merlin N. R; Dr Shanthi M; Dr Sandra Johnson; and Dr. P. Shobha Rani.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention relates to an advanced Smart Greenhouse Automation System with Deep Neural Network Based Growth Monitoring and Encrypted Control Architecture, designed to improve agricultural productivity through intelligent monitoring, automated environmental control, and secure communication infrastructure. The system integrates Internet of Things (IoT) sensors, image acquisition modules, machine learning algorithms, and encrypted data transmission mechanisms to provide a comprehensive solution for precision greenhouse farming.The proposed system comprises multiple environmental sensors including temperature, humidity, soil moisture, light intensity, and carbon dioxide sensors deployed within the greenhouse to continuously monitor plant growth conditions. These sensors collect real- time environmental data, which is transmitted to an edge processing unit. In addition, cameras installed within the greenhouse capture periodic images of plants to analyze growth patterns and detect abnormalities. A Deep Neural Network (DNN) model processes both the environmental data and visual plant data to determine plant health status, growth stage, and potential stress conditions such as nutrient deficiency, water stress, or disease symptoms. Based on the predictions generated by the neural network model, the system automatically regulates greenhouse parameters such as irrigation, ventilation, lighting, and nutrient delivery using actuator-based control mechanisms.The invention further incorporates a secure encrypted communication architecture to protect the transmission of sensor data and control commands between the greenhouse system and a cloud-based monitoring platform. Encryption techniques and authentication protocols ensure data integrity, confidentiality, and protection against unauthorized access.The cloud server stores greenhouse operational data and provides remote monitoring capabilities through a web-based or mobile interface, enabling farmers or administrators to observe greenhouse conditions in real time and receive alerts regarding abnormal environmental conditions. By combining artificial intelligence, IoT-based sensing, automated control, and secure communication, the proposed invention enables efficient crop monitoring, reduces manual intervention, improves resource utilization, and enhances overall agricultural productivity in modern greenhouse farming systems. Keywords Smart Greenhouse Automation, Deep Neural Network, Plant Growth Monitoring, Precision Agriculture, IoT-based Sensor Network, Automated Climate Control, Encrypted Communication Architecture, Cloud-based Agricultural Monitoring.
Disclaimer: Curated by HT Syndication.
