decision-making supports. 3D means providing
traceability and management support of farm
operating conditions for any point in time.
(2) Active and Customized Services
Around the needs of individual users, a
personalized experience tailored processes and
monitoring were achieved by using personal
identification technology and access admission
policy. On this basis, information resources
exhibition services, text messages and mobile
newspaper active push services were provided
according to user customization process by using
IoT devices. At the same time, IEFMS provided a
wide range of user experience services based on
personalized information such as location
information, visit track, visiting hours, stay time,
browse operations, product ordering, video images,
etc. which automatically collected.
(3) Multidimensional Experience Mode
Based on multimedia information service and
traces of location service, this paper proposes a
multidimensional experience mode. The main body
of that is large amount of information resources,
such as video, audio, images, text, tourist location,
tour track and so on. Relying on IEFMS services and
IoT equipment, it created a variety of creative
atmosphere for farm visitors, and provided different
feelings of the tour. This mode further tap the
customer experience value, and enhance tourist
approbate degree and brand loyalty, All in all, it
created a unique multi dimensions farm experience
mode.
In summary, the countryside with vast and
beautiful rural scenery are not only the agriculture
products supply bases for cities, but expand an
intelligent space for smart city. IEFMS is a new
management and service model for farm
development with the benefits of enhancing the
agricultural increase, the rural income and the
harmonic prosperity of urban and rural. And it will
play an important role in the technology upgrades of
traditional farmhouse and farm tours. The
application of IEFMS can improve the quality of
farm experience and value-added products, the core
competitiveness, and the development increased like
a "snowball" type virtuous circle.
5 CONCLUSIONS
Facing to the technical requirements of growing
farm recreation on the intelligent management
system and service model, the IEFMS and Service
Model were studied combining with the technology
of IoT. The results of this study will help improve
intelligent farm management services, likewise
providing technical and application support for the
intelligentization, automation and diversification of
intelligent farm relaxation service management, and
also to promote adding cultural, ecological,
technological and service value to intelligent farm
relaxation.
ACKNOWLEDGEMENTS
This work was supported by the National Key
Technology R&D Program (2015BAK04B01) and
Chinese Universities Scientific Fund (2016XD002).
REFERENCES
Blezentis T., Krisciukaitiene I., Balezentis A., Garland R.,
2012. Rural tourism development in Lithuania (2003-
2010) - A quantitative analysis. Tourism Management
Perspectives. 2-3, 1-6.
Chen T.C., Ku K.C., Ying T.C., 2012. A process-based
collaborative model of marine tourism service system-
The case of Green Island area, Taiwan. Ocean &
Coastal Management. 64,37-46.
Claire H.T., Eleri J., 2012. Local leadership for rural
tourism development: A case study of Adventa,
Monmouthshire, UK. Tourism Management
Perspectives, 4, 28-35.
Devesa M., Laguna M., Palacios A., 2009. The role of
motivation in visitor satisfaction: Empirical evidence
in rural tourism. Tourism Management. 31, 547-552.
Dionisio Perez-Blanco C., Delacamara G., Gomez C.M.,
2015. Water charging and water saving in agriculture.
Insights from a Revealed Preference Model in a
Mediterranean basin. Environmental Modelling &
Software, 69, 90-100.
Farmaki A., 2012. An exploration of tourist motivation in
rural settings: The case of Troodos, Cyprus. Tourism
Management Perspectives, 2-3, 72-78.
Frochot I., 2005. A benefit segmentation of tourists in
rural areas: A Scottish perspective. Tourism
Management, 26, 335-346.
Jepson D., Sharpley R., 2015. More than sense of place?
Exploring the emotional dimension of rural tourism
experiences. Journal of Sustainable Tourism, 23(8-9),
1157-1178.
Lathia N., Capra L., Magliocchetti D., et al., 2012.
Personalizing Mobile Travel Information Services.
Procedia - Social and Behavioral Sciences. 48, 1195-
1204.
Leask A., 2010. Progress in visitor attraction research:
Towards more effective management. Tourism
Management, 31(2), 155-166.
Lee I., Lee K., 2015. The Internet of Things (IoT):