Ruiting Wen
intao Agricultural School in Dingxi City, Gansu Province,730599, China

DOI:https://doi.org/10.5912/jcb2528


Abstract:

The agricultural product circulation system demands intelligent standardization to enhance operational efficiency in the IoT era. This paper integrates big data and IoT technologies to construct a Biotechnology Business-oriented framework for optimizing agricultural supply chain standards. By leveraging biotech-driven analytics, the system addresses critical challenges in food safety, traceability, and sustainability, aligning with emerging trends in precision agriculture. The improved big data algorithm focuses on segmenting customer demand through biological behavior analysis, such as dietary preferences and nutritional requirements. The intelligent platform architecture incorporates IoT-enabled monitoring of biological parameters, ensuring compliance with biotech industry standards for product quality and shelf-life optimization. Expert validation confirms the system’s efficacy in reducing post-harvest losses by 18% while maintaining adherence to biopharmaceutical-grade safety protocols. This research contributes to Biotechnology Business innovation by establishing a scalable standardization framework that bridges agricultural logistics with biotech analytics. By prioritizing biological data integrity and process optimization, the system offers a novel solution for enhancing market responsiveness and sustainability in the era of smart agriculture.