Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Wanhyun Cho"'
Publikováno v:
Agriculture, Vol 14, Iss 5, p 754 (2024)
(1) Background: This challenge is exacerbated by the aging of the rural population, leading to a scarcity of available manpower. To address this issue, the automation and mechanization of outdoor vegetable cultivation are imperative. Therefore, devel
Externí odkaz:
https://doaj.org/article/a715752e95fd427eb252fc264381c72e
Publikováno v:
Agriculture, Vol 13, Iss 10, p 1895 (2023)
Measuring weight during cattle growth is essential for determining their status and adjusting the feed amount. Cattle must be weighed on a scale, which is laborious and stressful and could hinder growth. Therefore, automatically predicting cattle wei
Externí odkaz:
https://doaj.org/article/ae87ac0b9cc2479fbd14a13407c92e4c
Publikováno v:
Applied Sciences, Vol 10, Iss 6, p 2094 (2020)
In this study, we propose a new agricultural data analysis method that can predict the weight during the growth stages of the field onion using a functional regression model. We have used onion weight on growth stages as the response variable and six
Externí odkaz:
https://doaj.org/article/e6214f37c56a4f73b83eb487af5eb21a
Publikováno v:
The Korean Data Analysis Society. 23:2631-2641
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b77a61151fe891e31a3b9db6b236bd0e
https://doi.org/10.37727/jkdas.2021.23.6.2631
https://doi.org/10.37727/jkdas.2021.23.6.2631
Autor:
Wanhyun Cho1 whcho@chonnam.ac.kr, Yuha Park1 yuhapark0@gmail.com, Myung Hwan Na1 nmh@chonnam.ac.kr, Don-Woo Choi2 gogemaroo@korea.kr
Publikováno v:
Journal of Internet Computing & Services. Feb2019, Vol. 20 Issue 1, p39-46. 8p.
Publikováno v:
Multimedia Tools and Applications. 78:28815-28834
In the area of smart farming, a big data is being created using information and communication technologies such as the Internet of Things and Cloud computing. Drawing clear and reliable information from analyzing the big data is a challenge task for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e310cf6c2c523e83f571ce15328d7fba
https://doi.org/10.1007/s11042-019-7212-5
https://doi.org/10.1007/s11042-019-7212-5
Publikováno v:
Electronics, Vol 10, Iss 1576, p 1576 (2021)
Electronics
Volume 10
Issue 13
Electronics
Volume 10
Issue 13
Nonlinear autoregressive exogenous (NARX), autoregressive integrated moving average (ARIMA) and multi-layer perceptron (MLP) networks have been widely used to predict the appearance value of future points for time series data. However, in recent year
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a48f38879ad00884d494756062108ae1
https://www.mdpi.com/2079-9292/10/13/1576
https://www.mdpi.com/2079-9292/10/13/1576
Publikováno v:
Advances in Computer Science and Ubiquitous Computing ISBN: 9789811593420
Generally, the problem of predicting yields of onions grown in a year is of utmost concern to both the farmers who grow vegetables and the government departments that manage them. In this study, we first considered five environmental variables, Mean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caa4316fbdc5ade80492a0f8a08fc553
https://doi.org/10.1007/978-981-15-9343-7_22
https://doi.org/10.1007/978-981-15-9343-7_22
Publikováno v:
IEIE Transactions on Smart Processing & Computing. 7:132-139
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a8573306ee1b559dba1bea192924eee
https://doi.org/10.5573/ieiespc.2018.7.2.132
https://doi.org/10.5573/ieiespc.2018.7.2.132
Publikováno v:
Advanced Science Letters. 24:2084-2087
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef98f6a5f9861b2489a43e69cbfe224a
https://doi.org/10.1166/asl.2018.11855
https://doi.org/10.1166/asl.2018.11855