MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641058104 A) filed by Dr. Arulprakash M; Kovvuri Ganeshvemkatakalyanreddy; and Chemuduri Likhith on May 07, 2026, for High Performance Cloud Based Precision Agriculture Using Accelerated Computing.
Inventors include Dr. Arulprakash M; Kovvuri Ganeshvemkatakalyanreddy; and Chemuduri Likhith.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: Abstract Agriculture remains fundamental to economic stability and food security, yet it continues to face challenges such as inefficient water usage, climate variability, limited real-time monitoring, and crop damage caused by animal intrusion. Conventional farming practices, which rely heavily on manual observation and irrigation, often result in poor resource management and delayed responses to changing field conditions. This work presents an loT-based smart agriculture monitoring and irrigation system designed to improve efficiency, automation, and decision-making in farming operations. The system is built around the ESP8266 microcontroller, chosen for its integrated Wi-Fi capability, low power consumption, and affordability. It continuously collects data from sensors measuring soil moisture, temperature, and humidity, enabling accurate assessment of environmental conditions. Soil moisture data is used to optimize irrigation, reducing water wastage while maintaining suitable soil conditions, while temperature and humidity readings support better crop management. The system integrates the Blynk loT platform to provide a user- friendly interface for real-time monitoring and remote control of irrigation through a smartphone. In addition, sensor data is transmitted to AWS loT Events for secure storage and event-based processing, enabling long-term data analysis and intelligent alerts. A passive infrared sensor is also included to detect movement in the field, helping identify animal intrusion and protect crops. The irrigation system is automated using a relay- controlled water pump, which can also be manually operated through the mobile application. Overall, the proposed system offers a practical and scalable solution that enhances resource efficiency, reduces manual effort, and supports data- driven agricultural practices.
Disclaimer: Curated by HT Syndication.
