HUBEI AGRICULTURAL SCIENCES ›› 2022, Vol. 61 ›› Issue (22): 174-177.doi: 10.14088/j.cnki.issn0439-8114.2022.22.031

• Information Engineering • Previous Articles     Next Articles

Design and research on recommendation model of spice cultivation in deep learning environment

SUN Ji-hong1, QIAN Ye2,3, ZHOU Zheng1, ZHANG Jian-bo1   

  1. 1. Yunnan Provincial Academy of Science and Technology, Kunming 650051,China;
    2. School of Big Data (Information Engineering) ,Yunnan Agricultural University, Kunming 650201,China;
    3. Key Laboratory of Agricultural Information Technology in Yunnan, Kunming 650201,China
  • Received:2021-11-08 Online:2022-11-25 Published:2023-01-11

Abstract: In order to further use artificial intelligence technology to serve Yunnan Province, promote the continuous growth and development of the fructus tsaoko industry in Yunnan Province, and reduce the waste of resources and labor, the most representative fructus tsaoko planting base in Nujiang,Yunnan Province was selected to construct multiple intelligent models such as fructus tsaoko pest prediction model and fructus tsaoko price prediction model, and build an intelligent recommendation model group for fructus tsaoko industry. The use of cloud computing technology to build an intelligent recommendation platform for the grass and fruit industry would help farmers get rich, enterprises grow and develop, and scientific researchers obtain significant research results. It would provide high-quality and efficient intelligent service models for five groups of farmers, planting enterprises, sales enterprises, processing enterprises, and scientific researchers. In the process of operation, the scale and influence of the platform would continue to grow, and the development of the fructus tsaoko industry in Yunnan Province and even the whole country would be promoted.

Key words: spice planting, recommended model, design, deep learning

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