Decoding time: Unraveling the power of N-BEATS and N-HiTS vs. LSTM for accurate soil moisture prediction

Project Type: Graduate Student
Funds awarded in 2022: $16,500.00
Projected End Date: 08/31/2024
Grant Recipient: Clemson University
Region: Southern
State: South Carolina
Graduate Student:
Major Professor:
Dr. Vidya Samadi
Clemson University
Description:
This journal article is about the prediction of soil moisture across three soil depths and three prediction horizons to inform irrigation decisions
Type:
Peer-reviewed Journal Article
File:
Target audiences:
Farmers/Ranchers; Researchers
Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and should not be construed to represent any official USDA or U.S. Government determination or policy.