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The full supply chain of fruits and vegetables not only has the characteristics of complex business processes, heterogeneous data sources, and numerous interest roles in the general food supply chain, but also has the characteristics of complex risk evolution trends, strong timeliness requirements, and the presence of sudden new risks. To effectively address the pain points of traditional fruit and vegetable supply chain supervision solutions, such as insufficient regulatory coverage, long traceability effect cycles, and poor collaborative effects among various entities, a blockchain based full-process and information management model for the entire process of fruits and vegetables was constructed, and a systematic acceptance was conducted. Firstly, based on the analysis of holographic information throughout full-process and information of fruits and vegetables, a multi-chain-based holographic information management model for fruits and vegetables was constructed. Then a fast retrieval method for fruit and vegetable information based on block comprehensive index was proposed, and a cross chain secure interaction mechanism for fruit and vegetable information based on notary chain was designed. Secondly, a prototype system for the full-process and information management of fruits and vegetables was designed and developed based on the open-source blockchain platform of chainMaker. Finally, experimental verification and system case application analysis were conducted. The results showed that the average time for public data uplink in this system was 589.03ms, the average time for private data uplink was 708.59ms, the average time for public data queries was 26.87ms, and the average time for private data queries was 30.67ms. The multi-chain-based full-process and information management model and system designed not only met the needs of different users with different permission informations for uploading and querying, but also achieved penetrating supervision of full-process and information of fruits and vegetables, and met the needs of enterprises for permission control and secure sharing of private data, improved the efficiency of fruit and vegetable information retrieval, and provided reference for the development of full-process and information management model.