Short-term soil moisture content forecasting with a hybrid informer model

This study proposes a novel time-series forecasting approach that integrates the Informer model with the RAO − 1 optimization algorithm for soil water content (SWC) prediction. The method innovatively combines Informer’s long-range dependency modeling with RAO-1’s efficient hyperparameter optimizati...

Full description

Bibliographic Details

Published in:	Frontiers in Sustainable Food Systems
Main Authors:	Long Wang, Shihan Yao, Chao Huang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-09-01
Subjects:	soil moisture content RAO-1 algorithm informer model time-series forecasting hyperparameter optimization deep learning
Online Access:	https://www.frontiersin.org/articles/10.3389/fsufs.2025.1636499/full