MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202541029111 A) filed by Gm University on March 27, 2025, for Digital Signal Processing (dsp) Integrated Smart Composting System With Iot And Machine Learning.
Inventors include Suprith P G; Aishwarya N; Amulya B Gaekwad; Anusha R B; and Karthik K S.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: Title: Digital Signal Processing (DSP) Integrated Smart Composting System with IoT and Machine Learning The present invention relates to a Digital Signal Processing (DSP) Integrated Smart Composting System designed to optimize and revolutionize the composting process through the integration of DSP, Internet of Things (IoT), and Machine Learning (ML) technologies. The invention provides real-time monitoring and dynamic adjustments of critical composting parameters such as temperature, pH, moisture, oxygen, ammonia, and carbon dioxide levels. The system utilizes advanced DSP algorithms to process sensor data, enabling precise control and optimization of microbial activity. Machine learning algorithms predict compost maturity and recommend suitable plants based on the final compost composition, enhancing the usability and efficiency of the compost. A cylindrical composting chamber, equipped with sensors, actuators, a motor-driven mixing mechanism, and a controlled environment, facilitates uniform and accelerated decomposition. The system incorporates IoT for remote monitoring and data visualization, ensuring user-friendly and scalable operation. By reducing composting time by approximately 30% and enhancing compost quality, the invention supports diverse applications in agriculture, waste management, urban farming, and environmental sustainability. This intelligent and adaptive system significantly minimizes environmental impact, optimizes resource utilization, and promotes sustainable practices in organic waste management
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