Kinetic Process Technology India has introduced an artificial intelligence (AI)-driven autonomous rice milling technology in India, aiming to automate processing operations, improve production efficiency and enable more consistent output through intelligent process control.
Samresh Chatterjee, Director, Sales and Marketing, Kinetic Process Technology India, said the technology had previously operated in China before being installed at an Indian facility. The system had completed its first week of operation in India at the time of the announcement, with the company anticipating wider adoption across the country's rice milling sector over the following six months.
The AI-driven system is designed to manage milling operations according to output specifications configured by the operator. These parameters can be tailored to different product requirements, including export-grade and domestically marketed rice, allowing the system to adjust processing operations to meet defined specifications while reducing reliance on manual intervention.
According to Chatterjee, the technology can operate autonomously around the clock once the required output parameters have been set. By automating routine plant operations, the system aims to streamline production workflows, improve operational consistency and help millers respond more efficiently to changing buyer requirements.
The deployment highlights the potential of AI-driven automation in traditional processing industries, where maintaining product quality, optimising operational efficiency and meeting diverse market specifications are critical. Autonomous process control can help manufacturers manage complex production requirements while reducing the need for continuous manual adjustments.
Kinetic Process Technology India plans to expand the technology's deployment across the country, targeting broader adoption of AI-enabled solutions in rice processing. The company's initiative reflects a growing focus on applying intelligent automation to industrial operations, with potential implications for productivity, process standardisation and manufacturing efficiency.
As India's rice industry caters to both domestic consumption and international export markets, AI-enabled autonomous milling systems could provide processors with additional tools to manage production requirements and strengthen operational performance.
