Bioscience Evidence 2026, Vol.16, No.4, 304-315 http://bioscipublisher.com/index.php/be 312 materials. In the future, environmental management should shift from experience-based regulation toward a data-driven environmental standard system. Recent studies on the standardized production of medicinal plants have increasingly emphasized the relationship between environmental parameters and quality traits. High-quality medicinal plant production requires an integrated management system combining ecological suitability assessment, production environment monitoring, and quality evaluation rather than relying only on yield-related indicators. For D. officinale, future environmental standards should not simply define fixed temperature or humidity ranges. Instead, differentiated management strategies should be developed according to different production systems, including facility cultivation, simulated ecological cultivation, and understory cultivation. These strategies should include environmental monitoring indicators, production process records, and quality evaluation standards. Standardized production should also consider input management and ecological safety. With the expansion of the D. officinale industry, long-term high-input cultivation may lead to substrate degradation, increased disease occurrence, and quality fluctuations. Future production systems should integrate environmental regulation with green production practices, including reducing unnecessary chemical inputs, strengthening biological control, and improving ecological regulation to enhance production stability. For small-scale growers, standardization does not mean increasing complicated management procedures. Instead, it should focus on establishing simple and practical environmental recording systems to improve production traceability and consistency. 5.2 Improvement of quality evaluation systems Currently, quality evaluation of D. officinale still relies mainly on traditional indicators such as polysaccharide content. However, with increasing research progress, single indicators are no longer sufficient to fully represent medicinal quality. Future quality evaluation systems should move from measuring individual compounds toward comprehensive assessment of multiple quality characteristics by integrating chemical composition, sensory properties, biological activity, and production environment information. The development of rapid detection technologies provides new tools for medicinal material quality evaluation. Yang et al. (2022) used near-infrared spectroscopy combined with chemometric methods to conduct comprehensive evaluation of D. officinale from different origins, achieving rapid prediction of multiple quality indicators and identification of geographical origins. In future production systems, rapid detection technologies can partially replace traditional laboratory analysis and support efficient quality evaluation during harvesting, grading, and marketing. In addition to chemical analysis, future quality evaluation should strengthen the relationship between quality characteristics and biological functions. Medicinal quality is not determined only by the content of a single compound but also by the combined effects of different components. Functional compounds in D. officinale show dynamic changes during growth and development, and quality formation is jointly affected by growth stage, environmental conditions, and processing methods (Wang et al., 2025). Therefore, future quality standards should gradually shift from“meeting content requirements”toward“stable quality, clear functional characteristics, and full-process traceability”. For producers, this means that future competitiveness of D. officinale will depend not only on production quantity but also on stable quality performance. By establishing rapid detection, quality grading, and traceability systems, producers can better distinguish product value and improve market recognition of high-quality medicinal materials. 5.3 Integration of intelligent cultivation technologies The production environment of D. officinale shows strong small-scale spatial variation, and traditional manual management cannot always detect timely changes in temperature, humidity, light, and water conditions. Therefore, an important direction for future intelligent cultivation is the use of sensors, Internet of Things (IoT), and artificial intelligence technologies to achieve real-time monitoring and precise environmental regulation.
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