Machine learning approach to estimate soil matric potential in the plant root zone based on remote sensing data

HIGHLIGHTS

• who: ufeffRodrigo Filevufeff ufeffMaiaufeff from the Xijing University, China have published the paper: Machine learning approach to estimate soil matric potential in the plant root zone based on remote sensing data, in the Journal: (JOURNAL)
• what: This work proposes the original approach of using the relationship between soil matric potential and the cumulative evapotranspiration between irrigation events expressed in kPa/ mm aiming to (i) explore the proposed relation over the cotton growing season and_(ii) assess the feasibility of estimating soil matric potential in the cotton root zone (0.20 m below ground) from remotely . . .
  

   

  

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