Journal of Northern Agriculture ›› 2020, Vol. 48 ›› Issue (6): 129-134.doi: 10.12190/j.issn.2096-1197.2020.06.21

• Agrometeorology · Agriculture information technology • Previous Articles    

Design and development of agricultural knowledge service think tank platform in Inner Mongolia

REN Tingting, XIN Qingqiang, LYU You, ZHAO Junli   

  1. Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences,Hohhot 010031,China
  • Received:2020-11-20 Online:2020-12-20 Published:2021-02-04

Abstract: 【Objective】Through the design and development of agricultural knowledge service think tank platform in Inner Mongolia,it has made breakthroughs in the key technologies of smart agriculture research in Inner Mongolia,providing scientific and technological support and technological demonstration for the development of modern agriculture during the 13th Five-Year Plan period.【Methods】The whole platform focused on the construction of the index ontology of each agricultural industry,and sorted out the index ontology system of each related industry,as well as the index quantitative data,and the multi-dimensional texts of different quantitative indicators.【Results】The platform was supported by heterogeneous multi-dimensional and multi-source big data integration management,and focused on the intelligent big data report generation business. Through the establishment of unified standards and norms for agricultural big data in Inner Mongolia,the index ontology was formed,and data mining and analysis of various dimensions were realized based on the ontology.【Conclusion】Agricultural knowledge service was an important driving force to promote agricultural modernization. It could not only further strengthen the support of science and technology,accelerate the construction of big data platforms,promote the integrated development of agriculture,the Internet and the Internet of Things,promote agricultural informatization,and further promote the transformation and industrialization of scientific and technological achievements,but it also could increase the training of new-type professional farmers,improve their scientific and technological literacy,technical skills,and production and management capabilities,so as to promote the continuous increase of farmers′ income.

Key words: Agricultural knowledge services, Big data, New-type professional farmers

CLC Number: 

  • S126