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Application of Random Forest and ICON Models Combined with Weather Forecasts to Predict Soil Temperature and Water Content in a Greenhouse

  • Yi-Zhih Tsai,
  • Kan-Sheng Hsu,
  • Hung-Yu Wu,
  • Shu-I Lin and ,
  • Hwa-Lung Yu,
  • Kuo-Tsang Huang,
  • Ming-Che Hu and
  • Shao-Yiu Hsu
  • + 3 authors+ 0 author
Water2020, 12(4), 1176;https://doi.org/10.3390/w12041176

20 April 2020

Climate change might potentially cause extreme weather events to become more frequent and intense. It could also enhance water scarcity and reduce food security. More efficient water management techniques are thus required to ensure a stable food sup...

(This article belongs to the Section Hydrology)
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