Journal of Agricultural Big Data ›› 2021, Vol. 3 ›› Issue (1): 56-65.doi: 10.19788/j.issn.2096-6369.210106

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Progress in Analysis Models and the Application of Big Data in Chinese Mitten Crab Culturing

Qingling Duan1,2,3(), Yiran Liu1,2,3, Xinhui Zhou1,2,3, Ni Ren4, Daoliang Li1,2,3()   

  1. 1.China National Innovation Center of Digital Fishery, Beijing 100083, China
    2.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
    3.Beijing Engineering and Technology Research Center for the Internet of Things in Agriculture, Beijing 100083, China
    4.Institute of Agricultural Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
  • Received:2021-02-18 Online:2021-03-26 Published:2021-05-18
  • Contact: Daoliang Li E-mail:dqling@;dliangl@


The Chinese mitten crab is a well-known aquaculture product in China. With the development of a big data platform supporting the Chinese mitten crab industry chain, big data technologies can be used to generate insights and value from the data produced during crab culturing, becoming an important way to promote the upgrade of the hairy crab industry chain. Analysis models using big data can clarify the relationships among vast amounts of data and reveal the internal laws of crab farming. A study of these models examines whether big data technologies can be applied to crab culturing to successfully upgrade the crab industry. This paper summarizes the status and performance of several big data models focused on important problems in crab farming. These problems include water quality prediction and early warning, water quality control, feeding strategy, disease detection, behavior recognition, and product quality identification. Several big data platforms currently used in the crab industry are reviewed and the challenges and opportunities of big data analytic models in crab farming are discussed. The review highlights the foundations and advantages in thoroughly applying big data technologies in the crab farming industry, but also highlights challenges in solving practical problems, and the lack of targeted and associated research findings. To reinforce the application of big data technologies, the special characteristics and practical requirements of the industry should be considered when building analysis models, and more intelligent services should be provided on a big data platform for the crab industry. The construction of an effective big data platform on crabs can guide the construction of big data platforms for other agricultural products.

Key words: chinese mitten crab, big data of specific product, data analysis, data model, aquatic big data, smart aquaculture, agricultural big data, smart agriculture

CLC Number: 

  • TP311.1