The State-of-the-Art of Knowledge-Intensive Agriculture: A Review on Applied Sensing Systems and Data Analytics

Joint Authors

Basnet, Barun
Bang, Junho

Source

Journal of Sensors

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-09-19

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Civil Engineering

Abstract EN

The application of sensors and information and communication technology (ICT) in agriculture has played a vital role in improving agricultural production and the value chain.

Recently, the use of data analytics has shifted agriculture from input-intensive to knowledge-intensive as a large amount of agricultural data can be stored, shared, and analyzed to create information.

In this paper, we have reviewed existing sensors and data analytics techniques used in different areas of agriculture.

We have classified agriculture into five categories and reviewed the state-of-the-art technology in practice and ongoing research in each of these areas.

Also, we have presented a case study of Korean scenario compared with other developed nations and addressed some of the issues associated with it.

Finally, we have discussed current and future challenges and provided our views on how such issues can be addressed.

American Psychological Association (APA)

Basnet, Barun& Bang, Junho. 2018. The State-of-the-Art of Knowledge-Intensive Agriculture: A Review on Applied Sensing Systems and Data Analytics. Journal of Sensors،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1201116

Modern Language Association (MLA)

Basnet, Barun& Bang, Junho. The State-of-the-Art of Knowledge-Intensive Agriculture: A Review on Applied Sensing Systems and Data Analytics. Journal of Sensors No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1201116

American Medical Association (AMA)

Basnet, Barun& Bang, Junho. The State-of-the-Art of Knowledge-Intensive Agriculture: A Review on Applied Sensing Systems and Data Analytics. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1201116

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1201116