Development Model of Agriculture + Travel Industry Integration in the Context of Big Data Explore: A case study from Huyi District, Xi'an


  • Pei Chao Wang Xi’an Traffic Engineering Institute
  • Xiang Ying Kou Xi’an Traffic Engineering Institute
  • Yuan Zheng Xi’an Traffic Engineering Institute



agritourism, big data technology, development model, industrial integration


INTRODUCTION: The new industrial model of agriculture + tourism has been developed for quite some time, however, in the rapid development of information technology, especially the algorithm is further integrated into the agriculture and tourism industry, this fusion industry has ushered in a new round of development opportunities, but with the development of human society, the traditional model of agriculture and tourism will be gradually eliminated.

OBJECTIVES: This paper is aimed at developing the regional needs of agriculture + tourism industry, using advanced big data technology and algorithmic technology to follow the pace of the times, in-depth understanding of the current social needs of agriculture + tourism, so as to better develop their own industries.

METHODS:Through the algorithmic technology to analyze the agro-tourism model that is currently being developed in Xi'an, to analyze the problems that arise in the process of its development, and to use the background of big data and clustering algorithmic technology to put forward the corresponding targeted improvement strategies.

RESULTS: Utilizing Shuangyi District in Xi'an City as a case study to apply the theory and explore new development paths.

CONCLUSION: Shuangyi District, Xi'an City, is rich in soil and water resources, so it has a high level of agricultural development and a favorable geographic location, and also has a huge potential market in tourism. With the support of big data technology, the analysis of the current market demand and the development of local natural and human resources on the basis of maximizing the preservation of the original ecology can promote the development of the local economy.


Liao X , Liao G , Cao J .Modeling of green agricultural environment and rape hyperspectral analysis based on machine learning algorithm.Optik, 2023, 273:170395-.

Zuo L , Bingfang W U , You L ,et al.Big Earth Data Supports Sustainable Food Production: Practices and Prospects.Bulletin of Chinese Academy of Sciences, 2022, 36(8):885-895.DOI:10.16418/j.issn.1000-3045.20210706001.

Duncan E , Rotz S ,André Magnan,et al.Disciplining land through data: The role of agricultural technologies in farmland assetisation.Sociologia Ruralis, 2022(2):62.DOI:10.1111/soru.12369.

Burgers T A , Vanderwerff K J .Vision and Radar Steering Reduces Agricultural Sprayer Operator Stress without Compromising Steering Performance.Journal of Agricultural Safety and Health, 2022(3):28.

Yadav V S , Singh A R , Raut R D ,et al.Exploring the application of Industry 4.0 technologies in the agricultural food supply chain: A systematic literature review.Computers & Industrial Engineering, 2022(Pt.2):169.

Mavrogiorgos K , Kiourtis A , Mavrogiorgou A ,et al.Self-Adaptable Infrastructure Management for Analyzing the Efficiency of Big Data Stores.Journal of Advances in Information Technology, 2022(5):13.

Begel A , Easterly T .Supporters of Beginning Agriculture Teachers Digital Conference: An Origin Story.The Agricultural Education Magazine, 2022(5):94.

Stafford K C , Molaei G , Williams S C ,et al.Rhipicephalus capensis (Acari: Ixodidae), A geographically restricted South African tick, returning with a human traveler to the United States.Ticks and tick-borne diseases, 2022, 13(3):101912.DOI:10.1016/j.ttbdis.2022.101912.

Li W , Mao E , Chen S ,et al.Design and verification of slip rate control system for straight line travel of high clearance self-propelled sprayer:.Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2022, 236(6):1319-1335.DOI:10.1177/09544070211032033.

Nguyen T V , Kumar R , Musolff A ,et al.Disparate Seasonal Nitrate Export From Nested Heterogeneous Subcatchments Revealed With StorAge Selection Functions.Water Resources Research, 2022(3 Pt.2):58.DOI:10.1029/2021WR030797.

Saayman A , Seetanah B , Sandt A V ,et al.Navigating the corn maze: Customizing travel cost models to value market segments in heterogeneous industries:.Tourism Economics, 2022, 28(4):899-919.DOI:10.1177/1354816620976968.

Luo Y .SWOT Analysis of New Trend of Rural Tourism Development in Xinjiang.Asian Agricultural Research, 2022, 14(6):51-54.

Ghimire C P , Bradley S , Ritchie W ,et al.Towards quantifying plot-scale overland flow connectivity using acoustic proximal remote sensing.Agricultural Water Management, 2022, 262:107418-.

Emanuelson K , Covino T , Ward A S ,et al.Conservative solute transport processes and associated transient storage mechanisms: Comparing streams with contrasting channel morphologies, land use and land cover.Hydrological processes, 2022(4):36.

Tomar G , Nagpure A S , Kumar V ,et al.High resolution vehicular exhaust and non-exhaust emission analysis of urban-rural district of India.Science of The Total Environment, 2022, 805:150255-.DOI:10.1016/j.scitotenv.2021.150255.

Brown A , Williams R .Equity Implications of Ride-Hail Travel during COVID-19 in California:.Transportation Research Record, 2023, 2677(4):1-14.DOI:10.1177/03611981211037246.

Hodgson C , Envelope K C P .Using drone technology to collect school transportation data.Travel Behaviour and Society, 2023, 31:1-9.

May C .The Professional Poet in the Romantic Period: Unpublished letters from Samuel Rogers to William Wordsworth.Romanticism, 2023, 29(1):68-79.DOI:10.3366/rom.2023.0581.

Kumar D .European travel and leisure sector and uncertainties: A risk spillover analysis:.Tourism Economics, 2023, 29(1):48-67.DOI:10.1177/13548166211035954.

Ao Y , Naess P .Travel behavior in smaller urban and rural areas.Transportation Research Part D: Transport and Environment, 2023, 115:103608-.




How to Cite

Wang PC, Kou XY, Zheng Y. Development Model of Agriculture + Travel Industry Integration in the Context of Big Data Explore: A case study from Huyi District, Xi’an . EAI Endorsed Scal Inf Syst [Internet]. 2023 Aug. 16 [cited 2024 Jul. 22];10(5). Available from: