|Table of Contents|

Research on Intelligent Algorithms in Agricultural Big Data

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2019年20
Page:
156-161
Research Field:
Publishing date:

Info

Title:
Research on Intelligent Algorithms in Agricultural Big Data
Author(s):
QIAN Ye1; 2; SUN Jihong3; ZHANG Yue1
(1.School of Big Data (Information Engineering)，Yunnan Agricultural University，Kunming，Yunnan 650201;2.Key Laboratory of Agricultural Information Technology in Yunnan，Kunming，Yunnan 650201;3.Science and Technology in Yunnan，Kunming，Yunnan 650000)
Keywords:
intelligent algorithm; agricultural big data; artificial neural network; fresh cut flower
PACS:
-
DOI:
10.11937/bfyy.20183913
Abstract:
In order to further promote the healthy and orderly development of big data industry in intelligent agriculture，reduce the risk factors in the field of agriculture in production，sales and so on，and ensure the best interests of agricultural producers and sellers.Through the detailed analysis of the core problems in agricultural big data，taking the fresh cut flower industry in Yunnan Province as the research object，the artificial neural network algorithm was used to construct the fresh cut flower price prediction model group and the fresh cut flower quality grade identification model group respectively.The fresh cut flower price prediction model group was embedded in the cloud platform and provided to the demanders at a low price.The recognition model group of fresh cut flower quality grade was applied to the flow line of fresh cut flower grade classification，and the intelligent classification was carried out conveniently and quickly.In this paper，the intelligent algorithm was introduced，and the intelligence and agriculture were combined organically，which provided a reference for the development of agricultural big data center.

References:

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Last Update: 2019-11-05