MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641079241 A) filed by Swarnandhra College Of Engineering And Technology Autonomous on June 26, 2026, for Smart Agriculture Monitoring Using Wireless Sensor Networks And Cloud Computing.
Inventors include Dr. M. Koteswara Rao; Mrs. G. Blessy Christina; Mrs. E. Suma; Mrs. M. Sindhu; Mrs. K. Pavani; Mr. A. V. N Hanuman; and Ms. J. Pushpa Rani.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: ABSTRACT Agriculture is a significant sector that supports global food production, yet it faces major challenges such as water shortage, climate changes, soil problems, lack of labor, rising demand for higher crop forms. Existing farming methods often depends on manual observation and regular field inspections, which may lead to not sufficient resource utilization and time taken responses to environmental change. To handle these challenges, Smart Agriculture Monitoring Systems integrated with Wireless Sensor Networks and Cloud Computing have emerged as an effective technological solution for precision farming and sustainable agricultural development. This project proposes a smart agriculture monitoring framework that utilizes a network of distributed wireless sensors deploy across agricultural fields to continuously collect real-time environmental and crop-related data. Different sensors, including soil moisture sensors, temperature sensors, humidity sensors, pH sensors and rainfall sensors used to monitor important agricultural parameters. These sensors communicate through low power communication protocols and transmit data to a central gateway. The collected information is then uploaded to a cloud computing platform for storage, further processing, analysis. Cloud computing provides scalable infrastructure and advanced data analytics capabilities that enable farmers to access field conditions from anywhere through mobile applications. The cloud platform processes sensor data using different algorithms to identify patterns, predict crop requirements. Real time alerts can be sent to farmers regarding irrigation needs, abnormal temperature fluctuations and Disease- sensitive conditions. Automated irrigation systems can also be integrated with the monitoring framework to optimize water usage by activating irrigation only if soil moisture levels fall below predefined threshold levels. The proposed system enhances agricultural productivity by enabling data driven decision-making, reducing water and fertilizer consumption, minimizing operational costs, and improving crop health. Furthermore, historical data stored in the cloud supports long term analysis, crop planning, and yield prediction. The integration of Internet of Things (IoT) with wireless communications system and cloud computing creates an smart agricultural ecosystem capable of responding dynamically to changing environmental conditions. This smart agriculture monitoring approach contributes to sustainable farming practices by increasing resource efficiency and reducing environmental impact. The system offers a cost-effective, scalable, and reliable solution suitable for farms of various sizes. The proposed system combines real- time sensor data, wireless connectivity, cloud computing, and remote supervision to support efficient farm management, improve crop yield and quality, and strengthen food security in modern agricultural environments.
Disclaimer: Curated by HT Syndication.
