Data-Driven Agricultural Innovation Technology for Digital Agriculture-Reference-Cited by-同舟云学术

Data-Driven Agricultural Innovation Technology for Digital Agriculture

Published:2023-10-11 Issue:20 Volume:13 Page:11163
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Kim Wan-Soo¹²^ORCID

Affiliation:

1. Department of Bio-Industrial Machinery Engineering, Kyungpook National University, Daegu 41566, Republic of Korea

2. Upland Field Machinery Research Center, Kyungpook National University, Daegu 41566, Republic of Korea

Abstract

Food security issues are emerging worldwide due to rapid climate change and war [...]

Funder

Kyungpook National University Research Fund

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/20/11163/pdf

Reference8 articles.

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4. A review of the applications of the internet of things (IoT) for agricultural automation;Kim;J. Biosyst. Eng.,2020

5. Kim, M.J., Mo, C., Kim, H.T., Cho, B.K., Hong, S.J., Lee, D.H., Shin, C.S., Jang, K.J., Kim, Y.H., and Baek, I. (2021). Research and technology trend analysis by big data-based smart livestock technology: A review. J. Biosyst. Eng., 1–13.

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