Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/62666
Title: Classification and trends in knowledge research relevance and context for smart farm technology development
Authors: Paweena Suebsombut
Aicha Sekhari
Pradorn Sureephong
Abdelaziz Bouras
Keywords: Computer Science
Decision Sciences
Issue Date: 16-Feb-2018
Abstract: © 2017 IEEE. With 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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85054221890&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/62666
ISSN: 25733214
2373082X
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.