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AuthorSuebsombut P.
AuthorSekhari A.
AuthorSureephong P.
AuthorBouras A.
Available date2020-01-01T10:25:04Z
Publication Date2018
Publication NameInternational Conference on Software, Knowledge Information, Industrial Management and Applications, SKIMA
Publication Name11th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2017
ResourceScopus
ISBN9781538646021
ISSN2373-082X
URIhttp://dx.doi.org/10.1109/SKIMA.2017.8294110
URIhttp://hdl.handle.net/10576/12475
AbstractWith the climate change paradigm, farmers are facing changes in the environment all the time like drought, higher temperature, heavy raining, and the shift of season. Smart farm is a method for helping farmers to plant their crops efficiently. This paper reviews the relevance and context for smart farm development in terms of technology, knowledge for farming, and Life Cycle Management (LCM). The literature shows that several research studies have adopted smart farm technology to monitor and control farm which can help farmers improving their production process and practices. Consequently, the exploit between knowledge for farming and data collected on farm by using smart farm technology is interesting for decision making that can help farmers to manage agricultural production and control the production process more effectively. This research could contribute to identifying the trends and future direction of smart farm technology development. - 2017 IEEE.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectAgricultural product
Lifecycle of plants
Smart farm
TitleClassification and trends in knowledge research relevance and context for smart farm technology development
TypeConference Paper
Pagination-
Volume Number2017-December
dc.accessType Abstract Only


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