Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Ming Hwi Yao"'
Autor:
Ming-Hwi Yao, Yung-Heng Hsu, Ting-Yi Li, Yung-Ming Chen, Chun-Tang Lu, Chi-Ling Chen, Pei-Yu Shih
Publikováno v:
Atmosphere, Vol 15, Iss 5, p 526 (2024)
In response to the adverse effects of climate change-induced frequent extreme disasters on agricultural production and supply stability, this study develops a comprehensive agricultural disaster prevention system based on current adaptation strategie
Externí odkaz:
https://doaj.org/article/be1359ed3a4447319c0e44ae4f268978
Autor:
Parichart Promchote, Shih-Yu Simon Wang, Jin-Ho Yoon, Paul G. Johnson, Earl Creech, Yuan Shen, Ming-Hwi Yao
Publikováno v:
Agronomy, Vol 12, Iss 11, p 2625 (2022)
In the subtropical climate of Taiwan, the cool season (January–June) is most productive for rice cultivation. However, the cool season also sees a large variability and weather impact on the crop. To assess the effect of winter monsoon variability
Externí odkaz:
https://doaj.org/article/3bf98f8e1f38446199395e8b6aabb624
Publikováno v:
Water; Volume 14; Issue 23; Pages: 3941
Agriculture is extremely vulnerable to climate change. Greenhouse farming is recognized as a promising measure against climate change. Nevertheless, greenhouse farming frequently encounters environmental adversity, especially greenhouses built to pro
Publikováno v:
Expert Systems with Applications. 210:118481
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 28, Iss 3, p 501 (2017)
Reference evapotranspiration (ETo) is an agrometeorological variable widely used in hydrology and agriculture. The FAO-56 Penman-Monteith combination method (PM method) is a standard for computing ETo for water management. However, this scheme is lim
Externí odkaz:
https://doaj.org/article/068199489ca74e51ac7e2aaac2509555
Publikováno v:
WIT Transactions on Ecology and the Environment.
Publikováno v:
2020 International Conference on Pervasive Artificial Intelligence (ICPAI).
With the rise of AI technology, it can be applied to smart greenhouse. In our research, we design a prevention mechanism against instant heavy rainfall using Long Short-Term Memory (LSTM) networks to forecast the local precipitation at the next hour
Publikováno v:
International Journal of Climatology. 38:571-583
Winter crop losses from extreme weather in Taiwan have increased in the recent decade, with those losses associated with pronounced wet-and-cold events (temperature 5 mm day−1). The regional and global patterns of atmospheric circulation and the se
Autor:
Ching-Hsien Ho, Huu-Sheng Lur, Nobuyuki Yagi, Fang-Ching Liao, Ming-Hwi Yao, Ying-Ting Lin, Hsueh-Jung Lu
Publikováno v:
Mitigation and Adaptation Strategies for Global Change. 23:311-347
According to Food and Agriculture Organization and Intergovernmental Panel on Climate Change reports, climate change will lead to a severe food-supply problem. In the future, food production will continually decrease because of aggravated effects of
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 28, Iss 3, p 501 (2017)
Reference evapotranspiration (ETo) is an agrometeorological variable widely used in hydrology and agriculture. The FAO-56 Penman-Monteith combination method (PM method) is a standard for computing ETo for water management. However, this scheme is lim