With the development of synthetic biology, microbial engineering, and artificial intelligence, green biomanufacturing is shifting from traditional experience-based R&D toward data-driven development, automated screening, and intelligent scale-up, continuously improving functional strain development efficiency and production stability.
In recent years, AI has been increasingly integrated with high-throughput screening, multi-omics analysis, and intelligent fermentation, driving biomanufacturing platforms toward greater efficiency, precision, and scalability.
Under this trend, functional strain development no longer relies solely on traditional experience-based screening. Instead, it is advanced through the combined use of data analysis, functional evaluation, and process optimization, accelerating target strain discovery, validation, and application transformation.
Looking ahead, green biomanufacturing will place greater emphasis on platform-based systems integrating functional strain development, AI-driven data intelligence, intelligent fermentation, and scalable application, providing new technical support for agricultural biotechnology, environmental management, and sustainable industrial development. G-term growth and environmental responsibility.